DITA XML: Exploring the Darwin Information Typing Architecture Standard

DITA XML keeps coming up in conversations about documentation management, and for good reason. When technical content grows past a handful of manuals, the cracks in unstructured workflows get expensive: duplicated effort, inconsistent outputs, version-control chaos, manual rework across channels… Structured authoring and XML solve these problems at the architecture level.

This article walks you through the basics of DITA structured authoring and supplies you with DITA guidelines. As the team behind DITAworks, an enterprise-scale DITA platform, we spill the tea on the topic.

What is XML?

XML is a text-centric markup language with a set of tags to annotate and interpret data. It was designed as a foundational format for storing data as structured information. Given its focus on structurality, XML is usually used to manage technical content. XML files can be processed by programs that interpret marked-up data, such as XML validators and XML editors. DITA (Darwin Information Typing Architecture) builds on this foundation, adding a topic-based structure specifically designed for technical writing and content reuse.

What is DITA XML?

DITA stands for Darwin Information Typing Architecture and is an open-source XML-based content standard for structured authoring and organizing topic-oriented information. Thanks to elaborated content reuse mechanisms at its core, it facilitates all documentation-related tasks, such as authoring, editing, reviewing, translation, localization, and publishing, and empowers companies to produce multiple output formats (PDF, HTML5, EPUB, etc.) from a single piece of DITA content. The standard can be leveraged to create and maintain any highly sophisticated content trees with numerous repetitive elements.

Consider DITA XML adoption if you constantly encounter these struggles

As DITA provides a single source of structured content that scales across products, languages, and output formats, implementation of a coherent DITA structure solves a slew of documentation-related hurdles for companies producing extensive technical documentation:

  • Unstructured documentation that hinders effective reuse of the existing content 
  • Inconsistent content with duplicates scattered across the organization
  • Inability to produce several output formats from one source item at a time
  • Lack of linkage between related documents 
  • Human error-prone processes due to inadequate automation
  • Difficulties with seeing a complex content tree as a whole
  • Time-consuming documentation updates 
  • Pricey content maintenance, localization, etc. 

With DITA XML authoring, organizations from various industries can gain a single source of structured dynamic content components they can reuse infinitely without constantly pouring money into the system. 

It makes DITA-driven solutions a game-changer for two types of companies:

  • Enterprises with stacks of external and internal user guides, marketing materials, training courses, reports, etc. 
  • Medium-size businesses that expect to reach the enterprise scale and want to manage their documentation right from the start to prevent stumbling blocks down the road. 
DITA reimagines 7 processes within documentation management

DITA architecture: four principles of structured content management and DITA writing methodology

Understanding DITA basics starts with four dimensions — modularity, inheritance, reusability, and traceability. Let’s explore each dimension of the DITA framework and the features they go hand in hand with.

4 pillars of structured authoring with DITA

Granular modularity

When companies put document organization on the back burner, they usually create every new piece of content from scratch or copy repeating parts from the existing files at best. And when minor changes to a paragraph used across multiple files have to be made, the documents need to be edited separately. Such an approach fails to provide a clear vision of the overall content structure and hinders the efficient reuse of the existing materials.

DITA standard, with its topic-based authoring, completely rewires the management of educational, marketing, and technical content. Instead of treating a document as an inseparable whole, all files are divided into small chunks of unique information called ‘topics’, that empower authors and translators to manage content at a granular level, down to the chapters, paragraphs, phrases, and even words.

content management at a document level vs. at a granular level

The following DITA documentation examples illustrate the topic element types that DITA XML architecture entails.

  • Glossary entry topics provide brief definitions of single terms. 
<!-- Glossary entry topic -->
<glossentry id="dita-definition">
  <glossterm>DITA</glossterm>
  <glossdef>An XML-based open standard for structuring,
    authoring, and publishing technical content.</glossdef>
</glossentry>
  • Glossary groups are the result of uniting separate glossary elements together. 
<!-- Glossary group topic -->
<glossgroup id="xml-standards-glossary">
  <title>XML Standards Glossary</title>
  <glossentry id="dita-definition">
    <glossterm>DITA</glossterm>
    <glossdef>An XML-based open standard for structured authoring.</glossdef>
  </glossentry>
  <glossentry id="xslt-definition">
    <glossterm>XSLT</glossterm>
    <glossdef>A language for transforming XML documents into
      other formats.</glossdef>
  </glossentry>
</glossgroup>
  • Task topics cover how-to procedures.
<!-- Task topic -->
 <task id="publish-dita-output">
   <title>How to Publish DITA Content</title>
   <taskbody>
     <steps><step><cmd>Open your DITA map in the editor.</cmd></step></steps>
   </taskbody>
 </task>
  • Reference topics link different elements within the system and may include data for supporting tasks, for instance, by providing equipment and product specifications.
<!-- Reference topic -->
<reference id="dita-output-formats">
  <title>Supported Output Formats</title>
  <refbody>
    <table>
      <tgroup cols="2">
        <thead>
          <row>
            <entry>Format</entry>
            <entry>Use Case</entry>
          </row>
        </thead>
        <tbody>
          <row>
            <entry>PDF</entry>
            <entry>Print-ready documentation</entry>
          </row>
          <row>
            <entry>HTML5</entry>
            <entry>Web-based help portals</entry>
          </row>
        </tbody>
      </tgroup>
    </table>
  </refbody>
</reference>
  • Concept topics encompass what-is content, but they’re broader than glossary entries and specify background information for other elements, such as tasks or references.
<!-- Concept topic -->
 <concept id="what-is-dita">
   <title>What Is DITA?</title>
   <conbody><p>DITA is an XML-based open standard...</p></conbody>
 </concept>

Each topic is saved as a separate .dita file, a standard DITA file format readable by any DITA-compatible editor. A DITA map (.ditamap) then assembles individual topics into a complete publication, defining their order and hierarchy without duplicating content.

<!-- DITA map -->
 <map>
   <title>User Guide</title>
   <topicref href="intro.dita"/>
   <topicref href="tasks.dita"/>
 </map>

Topics are building blocks of your content tree. Several topics can be combined into a DITAmap file, creating a document-like entity. Proceeding with the LEGO analogy, a map is a step-by-step instruction that comes with the builder set and specifies how to match the pieces to get what’s shown on the package.

Let’s get back to the situation when an author needs to make identical edits to a bunch of files. For example, when a company updates a production line procedure, the changes must be reflected across all related manuals, safety instructions, and process guides. Manually performing this repetitive task would be a waste of time and could lead to inconsistencies. With DITA documentation and its automated publishing, a content manager just needs to change the source topic, and edits will be automatically propagated to all the documents containing this topic.

content editing with and without DITA

Mandatory inheritance

Although modularity provides XML DITA users with a robust and consistent way to create dynamic content components that can be easily reused, it’s not a cure-all. 

That’s why the concept of inheritance is vital for DITA content management solutions. By default, any DITA-driven system implies that there are parent and child elements that follow a corresponding hierarchy — parent components always cascade down to related child elements. Such an approach: 

  • Provides users with an easy-to-grasp content tree at the scale of a whole organization and its separate departments. 
  • Simplifies and speeds up the creation of new content, as DITA writing enables technical writers to build on top of existing files instead of writing from scratch.

Thereby, the inheritance principle facilitates reusability and traceability within the system.

Extensive reusability

The DITA content model is known for its diverse range of reusable elements and customizable metadata.

Depending on the maturity of the DITA-driven software, the list of components you can limitlessly repurpose may include:

  • Keywords
  • Media objects
  • Whole topics or subtopics
  • Maps or submaps

Conref (content reference) and keyref (key reference) are core DITA XML examples of reusable elements that allow authors to maintain a single source of truth across dozens of documents. These capabilities underpin multichannel publishing, when the same piece of content can be adapted for numerous types of documents, including internal technical documentation, client-targeted marketing materials, and product descriptions for end users. Moreover, DITA XML enables publishing in different output formats, such as PDF, HTML, Web Help, XHTML, EPUB, and more.

Even when used in one language, reusable elements are beneficial enough. But they show their full value and cost-cutting potential in translation and localization tasks. If a piece of content was already translated for another document, authors can reuse it to speed up translation and decrease its cost.

Metadata is another vital element of any DITA-powered solution. It is attached to topics and maps and allows users to assign tags to reusable elements and glimpse the document’s content without opening the XML file. These annotations simplify search within the system, making this feature a blessing for companies with highly sophisticated content trees. 

Moreover, you can customize metadata according to your needs. For instance, a machinery manufacturer can create a specific metatag to mark the files related to discontinued models. 

In-depth traceability

The more you hone transparency within your content system, the more value you can gain from your documentation. How do DITA’s mechanisms champion traceability?

  • Solid linking and cross-referencing capabilities within the system to keep related modules connected even when the objects, or ‘sub-topics’, are moved within topics and to other maps. 
  • Hierarchical structure with a history view feature to track changes in the smallest chunks of your content.

Thus, every document check-in is recorded, and each change in an XML file is shown in a new document version. This way, users can:

  • See all the document versions 
  • Compare the current XML file with any of its previous versions
  • Check the author of the changes
  • Select any version of the document and restore it

Poised to start your DITA project?

Book a free consultation

Challenges you may face when adopting DITA

Switching to a structured DITA technical writing paradigm from an unstructured one is a tough nut to crack. The DITA satisfaction survey unveils the harsh reality that not every DITA project is a hit. Actually, 83% of them end up as duds.

There’s no magic formula for success, but here’s the list of possible obstacles you should be aware of: 

  • Absence of a coherent content strategy. Adopting the DITA XML standard without a clear vision of how you are going to capitalize on its strengths to get your documentation in order is like ordering an Uber without setting a destination. You should think of the business and functional requirements for the new tool, reuse guidelines, etc., to ensure positive ROI. 
  • Reluctance to undertake the content preparation stage. One of the best features of DITA is the ability to generate multiple output formats. However, to build on top of this advantage, companies have to unify their heterogeneous documentation first. In such cases, content conversion from DOCX, HTML, PDF, etc. to DITA format is mandatory at the pre-adoption stage, which involves extra time and expenses. 
  • Relatively complex UI that requires running DITA XML training. Initially, the standard was created specifically for tech writers. Still, a successful DITA adoption depends on choosing the right authoring approach and employees understanding how to use DITA within their specific workflow. So business leaders should consider investing in staff training. Partnering with a stalwart tech vendor that offers hands-on DITA workshops as part of their services can lighten this burden and make software adoption painless for your staff.
  • Overall cost of DITA adoption. While the DITA standard itself is free, its implementation may cost a small fortune. A powerful enterprise-targeted solution is worth its money, but you should meticulously calculate your decision to ensure the software can bring the much-expected benefits. 

How can you eliminate and prevent these hardships?

Ways to reap the benefits: DIY approach vs. vendor software

Since its release in 2005, DITA XML has been an up-for-grabs open standard, offering a DITA writing methodology that any organization can adopt. However, a plethora of DITA-based vendor solutions have also emerged, putting companies in front of a dilemma: whether to take advantage of free tools or opt for a DITA-powered component content management system (CCMS). Either path lets technical writers move from unstructured documents to a structured, reusable, single-source workflow.

Leverage free, open-source options to craft your own budget-friendly software

DITA standard itself isn’t enough to take full advantage of structured authoring. A company will also need a free XML editor and a publishing engine, such as DITA Open Toolkit (OT) or DITA XMLmind, to name a few. These open-source and vendor-independent processors became a foundation for numerous DITA and XML-based tools. 

Following DITA OT documentation and guidelines, you can customize XML for technical writers to match your specific documentation management needs without breaking the bank.

Yet, while embracing the thrill of the DIY approach, keep your eyes wide open to its challenges:

  • Readiness to invest time in crafting custom software on your own
  • Need for profound in-house DITA expertise to ensure successful adoption 
  • Ability to handle maintenance issues, as it will be a set of tools, not a standalone solution

I’d suggest this way to companies that are already familiar with the specifics of managing tech documentation, don’t have a strict deadline for their DITA project, but need to take into account budget limitations. 

Bank on customizable SaaS software to save time on development and fine-tuning

Enterprise authoring solutions also rely on the same open-source publishing engine – DITA Open Toolkit – but each vendor tries to take its basic capabilities to the next level and extend DITA standards’ competitive features. These efforts lead to covering major pain points of free tools:

  • All-in-one software for DITA authoring, editing, and publishing that simplifies collaboration between authors, reviewers, translators, etc.
  • User-friendly interface with drag-and-drop functionality and other intuitive features decreases the employees’ resistance to adopting new software
  • Time saving thanks to implementing extensive out-of-the-box functionality 
  • Custom features can be unlocked when upgrading to a higher-priced plan
  • Unlimited fine-tuning potential to match your specific needs and documentation management processes with the vendor’s battle-tested DITA expertise

Moreover, a SaaS component content management system may provide unique functions backed by the vendor’s expertise in trailblazing technologies. 

Instinctools’ DITA-based software: how DITAworks Webtop stepped up tech documentation management for a large Danish manufacturer

The market of DITA-powered solutions keeps evolving, and spotting the most beneficial option can feel like hunting for treasure — except the treasure might be elusive. Companies eager to leverage the DITA standard often risk sinking their budgets into software that turns out to be outdated and ill-suited to their needs, so, instead of capturing the right tool that delivers value, they get an expensive lesson.

That was the situation our client got caught up in. A Danish manufacturer had already adopted SaaS DITA technical documentation management software, but it misfired and turned out to be ill-performing, inflexible, and lacking vital functionality.

Therefore, when DITAworks Webtop appeared on the client’s radar, they decided to give DITA adoption another try and switch to our feature-rich software with: 

  • Support of different DITA processors. Our product relies both on DITA OT and DITA XMLmind to ensure materials are published in less than one second. 
  • Broad search capabilities. In addition to searching by title, phrase, and full text, users can find files and their components using conditional processing (CP) tags and metadata.
DITAworks' user interface
  • Custom features. Authors and translators can set any folder as a root in the current working context to eliminate the pain of re-opening ‘folder-in-a-folder-in-a-folder’ when operating in the same folder for a long time. Also, users are allowed to isolate their current working context, for example, when several linguists translate the same topic simultaneously.
explanation of the DITAworks' branching feature

Jeanine Shepstone, Senior Technical Writer at the client’s company, outlines the project’s progress and outcomes:

Instinctools used our outline spec to create a user-friendly and robust custom interface. They not only implemented the specification, but also added all the small, helpful HMI elements that made the interface a pleasure to use. We can now work more intelligently with our documentation. The robust system has also allowed us to handle challenges quickly and effectively. The continuing excellent service from Instinctools has kept us running well. 

How has DITAworks adoption influenced document creation time and translation costs?

Read the case study

Bear the low-hanging fruits of DITA-driven documentation management

DITA-powered software is a not-to-miss opportunity if you want all bits of your content to bring value while decreasing the overall cost of document-related processes and accelerating them. However, you may need expert guidance to evaluate the benefits and risks of DITA adoption, choose the appropriate software, set fact-based targets for your DITA project, and make sure the solution fits the bill.

Level up documentation management with our support

Let’s talk

FAQ

What is DITA XML?

Darwin information typing architecture (DITA) is an XML-based standard to create, edit, manage, and publish large volumes of documentation in multiple formats and languages. The DITA XML standard’s core principles make it stand out from the line of other content management solutions. Thanks to the modular structure, inheritance principle, components’ reusability, and extensive traceability across the system, DITA XML is a top pick for enterprises with a sophisticated content structure.

What does DITA stand for?

DITA stands for Darwin Information Typing Architecture – an open XML-based standard developed by IBM in 2001 and standardized by OASIS. It defines a framework for authoring, managing, and publishing modular technical content.

What is DITA used for?

DITA-powered software can cover all documentation-related processes, from authoring and editing to reviewing, publishing, and managing available content. Initially, it was created to deal with technical documentation, such as user manuals and manufacturing instructions. Later, the standard extended beyond this narrow area and gained popularity for structured management of training materials, marketing documents, etc.

What is the difference between XML and DITA XML?

Both concepts are central to structured authoring, but they operate at different levels. XML is a general-purpose markup language for storing data in structured files. DITA XML is a specialized architecture that defines how those files are organized, typed, and reused. When comparing DITA vs. XML, think of XML as the language and DITA as the methodology built on top of it. You can use XML on its own for structured data, but to scale structured authoring across large documentation sets, you need a system like DITA to enforce consistency and enable reuse.

What are DITA authoring tools?

DITA-driven software has one or several DITA processors for authoring and publishing modular content. DITA Open Toolkit and DITA XMLmind are examples of the wide-spread options. Both processors are open-source and can be freely used to craft your custom DITA-based tool.

Choose Your Fighter: Cross-Platform App Development vs. Native Development

Cross-platform vs. native development — which path will deliver the greatest value? If you got stuck at the crossroads, *instinctools’ Head of Mobile Development compared the ups and downs of both approaches to help you make the right strategic decision. Dive in and see which strategy clicks with yours in different business and project contexts.

What is native development?

Native mobile development implies designing an app for a specific platform or operating system, such as iOS or Android. These applications can seamlessly access the device’s hardware – camera, GPS, Bluetooth, etc. – and, therefore, provide unmatched UX and unbeatable performance. 

What is cross-platform development?

The cross-platform approach revolves around the idea of platform-agnostic applications and a single codebase for different platforms. Cross-platform frameworks usually cover two main mobile operating systems – Android and iOS, as Flutter does, but can go further and span over web and desktop platforms, as React Native and Kotlin Multiplatform do.

Head-to-head comparison of native vs. cross-platform development

To identify which development strategy clicks with your business goals and opportunities, let’s take a close-up of the mobile native vs. cross-platform clash.

Code reusability

Cross-platform development with a single codebase for different operating systems and code reusability as its core benefit sounds appealing as it results in rapid development and easier maintenance. 

If there’s no need for native plugins, you can take full advantage of a single code base. But the moment you add a native plugin to your cross-platform mobile app, you have to take care of three code bases — cross-platform, iOS, and Android ones.

In native development, applications are crafted for Android and iOS platforms separately, so you have two codebases with no code reusability.

Therefore, in this matchup, we give a nod to the cross-platform approach, keeping in mind that this benefit is only relevant until your platform-agnostic software calls for native features. For example, if you want to make your ecommerce solution more interactive and send notifications to users, you’ll have to go for native plugins. 

Time to market

At first glance, cross-platform tools clearly get points for faster development. But here’s a nuance that might catch business owners off guard. 

Crafting cross-platform mobile applications takes less timethan native development (about ⅔ of it) on one condition—if your solution has no native-related functions, which is rarely the case. When native plugins enter the scene, cross-platform development experiences setbacks and spikes in cost.

The backbone of native mobile development is its predictability and steady pace over time. Searching for suitable and secure native plugins while building cross-platform software may turn into looking for a needle in a haystack. With native app development, you don’t have to deal with unexpected workarounds, as iOS and Android platforms provide comprehensive software development kits (SDKs) for crafting feature-rich native mobile applications.

Development and maintenance costs

Cross-platform development is half the price of native development — and that’s what business owners want to hear. Yet, it’s not always the case. You can count on saving that much of your budget if you manage to stay within a single code base. But keep in mind that if you need to add some native-coded features, you’ll have to choose one of the not-so-budget-friendly options:

  • Pay for native app developers on demand to smoothly adopt native plugins and ensure your product runs without a hitch
  • Hire a full-stack engineer experienced in native and cross-platform solutions

Both ways require additional investments and reveal possible volatility in the cost schedule for cross-platform development and software maintenance.

The native approach entails higher expenses as you hire a dedicated team for iOS and Android. However, if we compare native vs. cross-platform in the long run, the former doesn’t hide additional development costs that spring up down the road whenever you need beyond-cross-platform features.

Based on mobile engineers’ salary data, Poland is one of the major destinations for outsourcing software engineering services and compared estimated salaries for developers with four to six years’ experience.

As you see, the numbers are neck-to-neck. Moreover, if you hire two cross-platform developers instead of one to shorten development time, the paychecks will be pretty close.

App’s functionality and performance

In the early days of cross-platform mobile development, platform-agnostic applications had performance glitches and lacked a range of features based on hardware integration with a microphone, camera, GPS, Bluetooth, etc. But as for 2024, there are plenty of plugins and libraries to augment cross-platform solutions with initially native-only functionality.

There can be nuances regarding the quality of these software components and their ability to match the required features and app performance. But you are safe with seasoned experts who know native plugins and libraries like the back of their hands. 

Case in point

Before cooperating with *instinctools, a large European eyewear manufacturer and retailer had a SaaS inventory management system (IMS) for iOS devices. As they wanted to escape the vendor lock-in and dependence on a particular operating system, the client decided to switch to a custom cross-platform IMS. We suggested banking on React Native enriched with native plugins and libraries for Bluetooth-based integration with RFID scanners. 

How did it impact performance? 
The client’s previous native software could have processed 300 tags/sec, while the new cross-platform mobile app handles 600 elements per second seamlessly.

Want to dive deeper and track the whole process of stabilizing third-party libraries and unlocking inventory transparency with custom dashboards?

Check out the full case study

As native mobile apps have direct access to all sensors, cameras, accelerometers, microphones, Bluetooth, and GPS, you won’t face tech setbacks. Moreover, you can build groundbreaking augmented or virtual reality software and machine learning solutions for Android or iOS platforms that are beyond the reach of cross-platform tools.

For instance, these *instinctools’ projects are built around conversational AI and couldn’t have been carried out with cross-platform capabilities:

  1. A highly personalized financial advisor with a voice recognition feature for a bank.
  2. Next-gen travel assistant that not only recommends actions but can act on them on the user’s behalf for a travel and hospitality agency. 
  3. Customer support chatbot that deciphers user queries with 97% accuracy despite typos for a transportation company.

User experience

A cross-platform mobile application, by default, can’t provide the same look and feel as a native solution grants. Platform-independent apps rely on a unified design that can lead to unfamiliar and irritating scenarios for users of a particular operating system. For example, users of iOS apps expect to see a pull-down menu — a basic principle of this OS. Meanwhile, cross-platform applications have drop-down menus that require another way of interaction.

When developing native apps, software engineers follow the Material Design approach for Android and Human Interface Guidelines for iOS to deliver an intuitive flow and seamlessly fit the application into the user’s world. So, when it comes to user experience and design, native mobile apps have the upper hand as you can take full advantage of all the platforms’ design capabilities.

Security

Even though cross-platform development frameworks allow you to build apps for different operating systems, your dedicated team still has to create platform-specific bundles and provide security certificates for each platform to sign the app for release to Play Market and App Store. In this regard, it works exactly the same as for native mobile applications.

Native apps are believed to be more secure thanks to functioning within the OS-specific ecosystem. 

I’d say security depends on the development team and the best practices they follow rather than on the platform you choose. 

Ease of updates

When you enrich your cross-platform app’s functionality with native features, you have to deal with all additional plugins and libraries that provide native functionality. 

As a result, you get a software pie with numerous layers that may be tricky to upgrade because updates of the cross-platform framework and native add-ons are never synchronized. You may also face issues with backward compatibility and user experience on different devices.

multilayered nature of cross-platform frameworks

Adopting the latest framework version while keeping old libraries and plugins can lead to software conflicts and errors. In this situation, here’s what can be done: 

  1. Fine-tune outdated elements by yourself, which is possible only with a strong team of senior and lead-level engineers and software architects by your side.
  2. Take a risk and implement publicly available alpha-stage patch-ups, accepting the high probability of issues in the future.
  3. Wait until the plugin developers fix the issues in the next release.

Any way you slice it, all strategies are time-consuming, meaning you won’t be able to deliver same-level UX for all users until all updates issues are covered. 

Software engineers’ hands-on experience is what matters when handling updates. I’ve seen business owners who thought their cross-platform apps had reached a dead end, and building a native one seemed the only way out. However, the cost of native app development from scratch always exceeds the expenses spent on fine-tuning the existing solution.
From my experience, clients tend to compromise, with the cross-platform app’s core staying the same and the dedicated team covering major pain points via suitable native plugins. 

Native apps deserve kudos for their backward compatibility, empowering the software to run glitch-free on various mobile devices. Furthermore, managing native libraries is way easier compared to cross-platform solutions, as there’s no software pie to deal with.

Still have questions regarding native vs. cross-platform app development?

Let’s talk

Cross-platform vs. native development at a glance

Here’s a round-up of key differences between cross-platform vs. native solutions in a brief table to help you make a well-calculated decision.

CriteriaCross-platform appNative app
Code reusabilityCross-platform app development puts a premium on a single code base and sharing code across multiple mobile platforms.These solutions don’t provide code reusability, so your dedicated team has to write separate native apps for each particular operating system.
Time to marketIf your solution doesn’t require any native features, its development time will be around 30% faster compared to native app development.Native mobile apps require more time but grant stable development speed.
Development and maintenance costsCan be half the price of native app development. But adding native plugins brings hidden development costs.Implies higher expenses, but doesn’t have hidden development costs you can’t foresee at the start.
App’s functionality and performanceMay have slight performance glitches if you have too many native add-ons.Native app development ensures unbeatable performance even for complex AR, VR, and ML-powered software.
User experiencePlatform-agnostic apps rely on unified design, which can confuse those who got used to specific mobile operating systems.Native applications follow platform-specific guidelines to win users with crispy design and predictable use cases.
SecurityIt depends on the reliability and expertise of your tech partner rather than the platform you choose.It depends on the reliability and expertise of your tech partner rather than the platform you choose.
Ease of updates and maintenanceKeeping your cross-platform app updated may be challenging if you have plenty of native plugins and third-party libraries and need to synchronize their updates.Native mobile apps come with backward compatibility, ensuring your software runs smoothly on any device.

Native development is a top pick for these scenarios

We suggest banking on native mobile development if you craft solutions with hardware-related features and want OS-specific UX for various platforms:

  • Apps for advanced audio and video editing. Tasks such as professional video editing and audio mixing definitely demand native methods of implementation. Unlike cross-platform software, native iOS and Android apps can cover a raft of diverse interactions with end users.
  • AR and VR-based applications. These solutions simultaneously use camera, compass, gyroscope, and accelerometer data to immerse users in the alternative reality. Performance level required for top-rate UX is beyond the reach of cross-platform apps.  
  • ML-powered software. Understanding speech, interpreting gestures, and discerning images in real time are basic features needed for a machine learning app, and cross-platform software can’t make up ground on native applications. 

Have a similar project on your mind?

Let’s discuss

Three cases when cross-platform development can fully cover your needs while saving the budget

Cross-platform development frameworks are a go-to option if you want to build one of the following:

  • Projects where speed to market is crucial. Why pony up for native apps if your product doesn’t imply hardware integrations and has to be rolled out ASAP? 
  • Relatively simple apps for internal usage. Going for platform-agnostic software with a limited range of functions is the best bet to accelerate and simplify specific organizational processes. Even if you implement some native plugins, managing add-ons at a small scale won’t snowball into a serious conundrum. 
  • Short-term, one-off projects. Cross-platform software is a perfect match for apps non-scalable by design. For example, if you need a mobile check-in solution with one or two functions for a one-and-done endeavor, React Native, Flutter, Kotlin Multiplatform, and other popular cross-platform frameworks are your fail-safe and budget-friendly options.

Choosing the right path from the get-go drives future success

Solving the native vs. cross-platform equation isn’t that easy, given the number of aspects you should take into account. Evaluating the importance of time to market, functional diversity, UX, development costs, ease of updates, and matching them with your project budget and scalability ambitions is easier with a reliable team by your side.

Do you need expert guidance on your mobile journey?

Book a free consultation

FAQ

What is the difference between native and cross-platform app development?

Native app development requires building OS-specific applications for every platform you aim to cover. In contrast, cross-platform development with code sharing across various platforms allows crafting software that works on both Android and iOS.

Do cross-platform apps provide better performance than native apps?

Cross-platform solutions can keep up with native-level performance and provide hardware-related features on par with native apps, but only if you strengthen them with native plugins and libraries. Yet, complex software with AR, VR, and ML at its core is beyond the reach of cross-platform applications. 

Is cross-platform development worth it?

Is saving up to 35–50% of the project budget worth it? Is building apps faster worth it? If your answer is yes, then cross-platform app development is worth trying. However, the final decision concerning the cross-platform vs. native application dilemma should rather be made together with your trusted software engineering team after evaluating project requirements.

Is cross-platform better than native?

When it comes to development costs and time to market, cross-platform apps can be more budget-friendly and faster to roll out, which is better for projects with a strict timeline and finance limitations. However, you can count on these benefits only if your app stays within cross-platform frameworks’ capabilities, as adding sophisticated native plugins inevitably leads to increased costs and may slow down the development process. 

So, if you have a long-term, feature-complex project and plan on its continuous scaling, native app development beats all popular cross-platform frameworks.

What is the difference between native apps and mobile apps?

Native apps are crafted in the OS-specific environment and target users of particular mobile operating systems. Both Android and iOS apps can access any device hardware by design and provide OS-specific UX. Such an approach enables building complex feature-rich solutions based on AR, VR, and ML technologies. 
Meanwhile, with a cross-platform app, you can reach users on different platforms. Their functionality won’t be as rich as with native software, but if you need a simple solution with a limited range of features, look into cross-platform frameworks. 

Not to Be Sniffed At: When Do You Need a Software Delivery Manager?

Managing numerous in-house and outsourced development teams within a long-term strategic partnership is too big of a burden to bear. Who on earth can seamlessly assemble project teams, establish smooth communication between them, mitigate risks, and give strategic advice on software development at a scale of two and more full-fledged projects? 

A software delivery manager can become your silver bullet for dealing with a diverse range of challenges. What value does this role bring to a project, and in which scenarios is a need for a service delivery manager non-negotiable? 

Our leading delivery managers and the head of the Delivery unit have given in-depth, yet easy-to-grasp answers to those questions.

Who is a software delivery manager?

The delivery manager (DM) at the software services company is a multifaceted expert, who ensures the client gets a digital product that fully meets both technological and business expectations. The cooperation spans over various projects.

Usually, delivery managers are senior and lead specialists with tech, strategizing, and project coordination backgrounds and have 8+ years of proven experience in a managing position.

A role with such an impressive track record may look like an eye-catching marketing hook that turns into a pumpkin the moment those delivery management specialists have to deal with real-life head-scratchers on the projects. So do those unicorns even exist? 

Professionals whose background and accomplishments speak for themselves arise in companies known for decades-long experience in digital product engineering and building their own delivery frameworks.

Instinctools' custom software delivery model

Four scenarios when a service delivery manager is a mandatory role

As a DM has a knack for tackling a broad range of tasks, this role will resonate with your needs in several cases.

  • Have several project teams.

    The delivery manager is at the helm of efficient strategic oversight of different development teams and talent rotation to achieve desirable outcomes.

    One of our clients started small, partnering with *instinctools to create an app for in-store consultants. But what began as a single project quickly evolved into a thriving collaboration. Today, we’re supporting them with multiple teams working on a customer-facing mobile app, a custom ERP, an inventory management system, tailored healthcare software for specific countries, and even a website migration from WordPress to Shopify.

  • Need to align in-house and outsourced development.

    With a massive backlog hanging over your head, you might seek support from the outside to bring all your project ideas to life. By delegating some engineering initiatives to dedicated teams outside your company, you’ll need a high-level role, such as a DM, to ensure efficient collaboration between in-house and outsourcing teams.

    With a strict trade show deadline and only one sample robot for teams spread across different countries, our client, a robotics manufacturer, was under immense pressure.

    When our Delivery Manager noticed the client’s team falling behind schedule, we quickly stepped in to create a custom emulator for robot testing. This solution not only resolved the bottleneck but also accelerated the entire process, ensuring the project stayed on track. It was a testament to how technical expertise and proactive support can turn potential setbacks into success stories.

  • Require industry-specific knowledge.

    A delivery manager with years-long hands-on experience in your business domain or related fields is a guarantee that your projects are moving in the right direction and will bring you the expected results.  

    This was the case for one of the first white label crypto exchanges in the EAEU countries. To make crypto transactions as reliable and trustworthy as fiat ones, they needed a seasoned tech partner with experience in meeting country-specific crypto regulations and establishing secure integrations with banking and payment systems. Thanks to the industry experts’ commitment, the software seamlessly fit FATF and Visa requirements and passed the Ernst & Young software quality audit.

  • Look for a long-term strategic partnership.

    DM’s participation in planning sessions and their ability to delve into the business and technical aspects of the future digital product and then combine them is a sure-fire way to broaden the horizons for your products and win more customers’ hearts and wallets.

    Let’s take one of our AI projects as an example. A Czech bank was eager to ride the wave of conversational AI and sought a top-tier partner to make it happen. We started by enriching their customer support chatbot with NLP and gen AI capabilities. Knowing that the technologies had already stepped further and could deliver more value, the DM suggested taking the chatbot idea to the next level. Hence, we also added a personalized virtual financial advisor feature available for users who gave explicit consent to access some of their profile data.  

Feel like one of these scenarios is yours?

Software delivery manager responsibilities: everything, everywhere, all at once

Thanks to their battle-tested knowledge of business, tech, project and people management, software delivery managers become universal soldiers capable of handling a medley of tasks.

Setting up several project teams

Delivery managers take care of the aspects that contribute to consistent, high-quality software product delivery and crafting a sustainable solution:

  • Providing team members with the required skill set and level of expertise
  • Ensuring flexibility in scaling the development teams up and down
  • Defining responsibility areas for project managers and tech leads
  • Establishing smooth and transparent workflows for each project

Creating a dynamic delivery environment with effective communication between in-house and outsourced teams

A delivery manager has a hand in identifying the client’s expectations about the projects and setting up corresponding agreements. Software delivery manager skills enable them to choose the appropriate communication format to keep internal, external, and mixed development teams in the loop. 

Having high-level project ownership, the delivery manager continuously and proactively monitors key priority areas, such as client satisfaction and customer expectations.

With such an approach, clients can rest assured that all the agreements will be fulfilled, leading to the expected result on time and on budget. Here’s how one of our clients describes cooperation with *instinctools:   

When the partner is good, things are just getting done. And that was the case with *instinctools.

Undertaking strategic planning within the projects’ micro contexts and macro business context

As a tech expert with years of experience and a project management professional, the delivery manager is well-versed in the projects’ business and technical aspects. Moreover, since operational tasks are covered by the project managers and other roles within the dedicated teams, the DM can focus on analyzing the bigger picture. 

Through a deep exploration of the client’s business background and domain-specific data, the delivery manager ties the micro-level projects’ contexts and the client’s macro-level business backdrop together to draw up relevant mid- and long-term plans for the projects’ evolution.

Case in point

Hiring a DM with solid domain expertise is one of the ways to fast-track your digital product engineering. Proceeding with the example of the e-health platform for CANet we mentioned earlier, the role of a service delivery manager, skilled in laying hold of the business side and guiding digital healthcare projects, was crucial. The DM quickly got to the heart of the project and brought it to the team, greatly facilitating the whole delivery process.

See the birth of a virtual platform for clinics, research centers, and patients that rewired the monitoring of patients with complex cardiovascular conditions in the entire country. Read the full case study 

Uncovering and preventing strategic risks

To help you excel in a risk-prone world, delivery managers:

  • Scan economic, political, industrial, regulatory, and other external changes 
  • Spot internal risk-bearing issues at the feedback sessions with the client, at the teams’ retrospectives, and during the one-on-one meetings with employees 
  • Evaluate the likelihood and severity of each risk and build a risk matrix for each project
  • Create comprehensive risk management plans with clearly defined roles and responsibilities within the team
  • Plan risk scenarios for each case and connect them within the overall company’s resilience agenda
  • Factor in these risk scenarios to proactively reduce the likelihood or impact of high risks
  • Update the risk register regularly to reflect the latest information and status of each risk 
  • Implement risk reporting mechanisms to keep all stakeholders informed

At *instinctools, we adhere to the adaptive delivery approach which implies running regular reviews and feedback sessions with stakeholders to engage them in risk management and foster a culture of continuous improvement and risk awareness.

The escalation process within the adaptive delivery approach

Guiding change management initiatives

Delivery managers are the ones accountable for strategizing and driving change management programs. 

Where does a client want to go with these projects? How ready are they to go there? What do the client’s in-house and dedicated teams have to do to get there?” By answering these questions and regularly reviewing the answers, the DM identifies the most beneficial model for a change management initiative.

McKinsey, three models for change management programs

Our clients’ cases reveal that in uncertain market conditions, even enterprise-grade companies are more likely to choose a linear or geometric model than a bold big-bang move.

Discover why our client decided to move slowly but surely on their way to legacy system modernization

Besides firing up change programs, the service delivery manager regularly evaluates their efficiency by scanning project success on three levels monthly or quarterly:

  • Initiative level that includes tracking the projects’ milestones, resource allocation, budget expenditure, and delivery deadlines
  • Business performance level with key outcomes such as costs, revenue, etc.
  • Value level, helping constantly focus on stakeholders’ ultimate goals 

Based on the results, the software delivery manager brings in subject matter experts when necessary and dynamically tailors the change program to the updated project status, stakeholders’ goals, market demand, etc. KPMG research pinpoints that initiatives that constantly align their daily decisions with long-term strategic goals and follow an “always-on” approach to performance management increase their odds of flourishing by 12%.

Driving knowledge sharing with a client at the tech and product levels

Early-initiated knowledge sharing contributes to optimizing the whole delivery process. Here’s a real-life example.

When working on multiple related projects for an eyewear manufacturer and retailer, our delivery manager created a single, easily accessible knowledge base from the ground up. Encouraging knowledge sharing and accurate, detailed documentation allowed the team to run regular architecture assessments and implement new features without breaking a beat in the rolled-out applications.

Following knowledge-sharing best practices, the delivery manager is responsible for:

  • Assisting in creating a single knowledge base 
  • Providing consistent and all-encompassing project documentation
  • Organizing technical and product round-table discussions to ensure regular knowledge transfer to the client’s team

Such an approach results in maintaining staff productivity and development speed regardless of changes in team composition both on the vendor’s and client’s sides. The clients get software solutions that are easy-to-grasp and support for newly onboarded software developers. You can even switch to another tech partner with no disruption in your development plans.

Monitoring the team health

Last but far from least, the DM stands behind tracking project teams’ health, as healthy teams deliver three times the total shareholder returns (TSR) compared to unhealthy ones. 

By running monthly or quarterly checks of vital areas, such as motivation and communication within the teams, the delivery manager ensures the client has the right talents on board to execute their strategy successfully.

The bottom-up approach, when team members proactively suggest improvements is also possible. In such cases, the DM is the one who collects ideas, escalates issues, and supervises changes’ adoption.

Still have questions about the DM’s key responsibilities?

Head-to-head comparison: service delivery manager vs. project manager

The delivery manager’s strengths and the value they add to the project become more vivid when compared to another role within the development team. That’s how *instinctools’ service delivery director outlines the differences between DM and PM. 

Criteria / RoleProject managerService delivery manager
BackgroundPMs don’t usually have a solid technical background. However, their role requires them to know the solution’s basic architectural aspects.DMs commonly grow out of senior tech experts, whose expertise extends beyond basic technical concepts and who can dive deep into the solution’s architecture.
Operating contextPMs operate at the project’s micro level; they are in charge of a specific project, its team dynamics, and timelines. DMs take the projects’ micro levels into account while overseeing the macro business level. They work on the strategic product vision to align it with the client’s business plans and ambitions. 
Planning focusPMs do short- and mid-term planning within a particular project.DMs create long-term strategies for several complex projects.
The number of teams under managementPMs are responsible for one dedicated team.DMs are experienced in managing several development teams within multiple projects.

Long-lasting benefits of having a DM on board

Hiring a service delivery manager may seem pricey until you have evidence of the value this role brings to the table:

  • Unwavering focus on providing expected business value. A delivery manager maintains a clear vision of your long-term projects, helping them stay on the right track and bring much-coveted results.  
  • Hitch-free delivery processes at the scale of multiple projects. As a high-level firefighter, a DM removes any bottlenecks, be it technology hurdles, staff issues, or communication difficulties.
  • Seamless collaboration between in-house and outsourced teams. The efficiency of cross-team communication and team health can impact the projects’ results positively or negatively. A delivery manager covers these areas, eliminating internal factors of the projects’ failure.
  • New growth opportunities in your domain. Backed up with DM’s industry-specific knowledge and strategic advising, you can easily unlock new evolution and ROI-generating scenarios.  

Want to reap these benefits?

Would you turn down the opportunity to multiply your project’s value when it’s just a click away?

Imagine having a committed ‘someone’ who takes care of the project vision’s consistency, monitors development team dynamics at several projects, ensures seamless communication between all the stakeholders, and handles unexpected challenges – all within delivery deadlines and estimated budget. Developing and rolling out a software solution with such an expert will be a breeze for sure. And that’s the reality waiting for you, with *instinctools’ delivery manager on board. 

Need help with juggling multiple projects?

FAQ

What is the role of a software delivery manager?

A delivery manager is an expert whose skill set combines technical and managerial aspects as well as deep domain knowledge. They ensure a client gets a digital product that fully meets their tech and business expectations.
Delivery manager roles and responsibilities in software development life cycle can vary, but at *instinctools, we provide:

– Coordinators to manage project managers within several projects
– Visionary leaders to uncover new value-creation opportunities on your project journey
– Responsible for the entire delivery as the main driver of your software solution to success 

Is a delivery manager the same as a project manager? 

The service delivery manager can take over the PM’s responsibilities, but the capabilities of the former span much broader. Most importantly, a DM takes over multiple projects, not just one, as a PM does. Thanks to their extensive background, DMs have a deep understanding of the solution’s architecture and business analysis-related questions and can outline the project vision. They also focus on the long-term plans rather than on short- and mid-term planning.

What is enterprise automation: from idea to ROI

Tight labor markets and economic downturns are forcing companies to produce more with fewer resources. Enterprise automation helps global businesses stand up to this challenge and react fast to emerging opportunities. No wonder it has become a big wheel across different industries, projected to take up from $25 to $500 million of capital spending over the next 5 years.

But a path to automation is a thorny one. To pan out, your automation strategy should sit on an enterprise approach and make technology a single fluid experience within your organization. Here’s how to reach this tough bar.

What is enterprise automation? It’s not what you think it is

Enterprise automation is the implementation of a wide range of technologies and tools to streamline, integrate, and automate business workflows, while also reducing the amount of manual work. 

Instead, it implies a comprehensive approach aimed at creating centralized control and strategy over automation as opposed to a bolt-on approach. Automation structures should be designed to scale from the get-go and strategized by something greater than a simple goal of achieving gains in process efficiency and reduced costs.

Four types of enterprise automation

An automation toolbox may include a different lineup of enterprise automation solutions, tools, and technologies — from simple low-code platforms to complex human-like bots. An exact mixture depends on the type of enterprise automation you’re up to.

Four types of enterprise automation: basic automation, BPA, RPA, integration automation

Basic automation

This is the less demanding form of enterprise automation that includes automating simple, stand-alone tasks such as automated email threads or report generation. It often relies on low-code or no-code software as a core enabler.

An example of basic automation would be automating the process of generating standard reports from data. For instance, a sales department automatically generates weekly sales reports through a simple software script that pulls data from the sales database, formats it into a predefined template, and then distributes it via email to the relevant stakeholders.

Business Process Automation (BPA)

Unlike basic automation, the turf of BPA spans across entire functions. In particular, process automation streamlines, and orchestrates repetitive business processes, for which it requires a multi-step automation workflow. The main differentiator of enterprise process automation is its reliance on integration, API, and data exchange across internal or external systems.

Automation of a new employee onboarding process is a fine specimen of BPA. In this case, a company deploys a workflow automation tool to manage the entire process from job offer acceptance, document submission, and verification, to provisioning work equipment and scheduling orientation sessions, with minimal human intervention.

Robotic Process Automation (RPA)

Robotic process automation is considered to be one of the approaches to Business Process Automation that includes the implementation of software bots. Following AI insights, bots complete high-volume, rule-based tasks, emulating human interaction with software applications.

Although RPA is technically a form of process automation, its focus is placed on automating the types of tasks traditionally performed by humans. Because of its non-intrusive nature and ease of deployment for specific repetitive tasks, RPA can often serve as a quick and effective automation solution that doesn’t require extensive changes to the existing IT infrastructure.

Robotic process automation is widely implemented in banking for customer-face communication, regulatory compliance, fraud detection, and KYC.

Also, RPA can do the heavy lifting of back-office tasks, production line operations, and supply chain management in the manufacturing industry.

Healthcare, an industry facing significant staff shortages, relies on RPA software to automate patient scheduling, claims processing, reporting, data entry, and other tasks.

Integration automation

Enterprise automation strategies based on the integration-first approach mean connecting different business software systems and using this connectivity to automate manual tasks. In this case, connected business systems operate on shared data, reducing errors and eliminating the need for manual data entry.

For example, ERP systems hinge on integration automation to exchange data with finance, sales, and customer success departments. By connecting it with a CRM platform like Salesforce, businesses can streamline order management and execution. Once an order is added to a CRM, it’s automatically transferred to an ERP system and fed to the warehouse. 

The integration works backward: an ERP then provides sales insight into order statuses right from a CRM dashboard. 

CriteriaBasic automationProcess automationRPAIntegration automation
ComplexityLowMedium to highMediumHigh
ScopeIndividual tasksEnd-to-end processesCross-application tasksSystem-wide integration
Implementation effortLowMedium to highLow to mediumHigh
Main technologies usedSimple scripts, basic software toolsBPM, workflow automation toolsRPA software,
AI capabilities
Middleware, API management, ESB
Integration levelMinimalWithin processesUI-basedDeep, across systems
FlexibilityLowHighMediumHigh
Main benefitsReduces simple repetitive tasksImproves process efficiency, standardize operations Quick wins, high ROI on repetitive tasksEnhances data flow, interoperability 
Typical use casesData entry, simple file transfersComplex workflows like onboarding, invoicing, etc.Data extraction, form filling, application bridgingConnecting disparate systems for real-time data exchange
ScalabilityLowMedium to highMediumHigh
Dependency on ITLowMedium to highMediumHigh
User interactionNone to minimalPossible through workflowsHigh (mimics human actions)Low to none

Count on our enterprise automation services to choose the right automation approach

Schedule a call

Enterprise automation as a vital part of your digital transformation effort

Enterprise automation is a crucial piece of the digital transformation (DT) puzzle. But unlike automation, DT doesn’t boil down to just implementing a new ERP, adding an API into your software solutions or making bots a part of your business processes. 

Digital transformation is about rewiring the entire business in a holistic way, rethinking and redesigning existing processes, organizational structures, and customer value — and using technology as a means to achieve that. It’s a much broader effort than enterprise automation, integrating technology into all areas of business and promoting cultural change.

Layers of the digital transformation pyramid: business strategy, corporate execution, enabling technologies

Mapping the benefits of the automated enterprise

According to Gartner, 30% of enterprises will increase their share of automation by 10% and will perform half of operations without manual support by 2026. Respondents paint a positive picture of automation’s impact on their company with benefits ranging from significant improvements in quality control improvements to reduced operating expenses. Let’s look into that.

Cost base improvement

More than anything, enterprise automation platforms are seen as a cost-reduction exercise. But unlike a traditional approach that tells us to calculate the ROI of automation based on the FTE numbers only, it isn’t about solely redistributing head count. Enterprise automation software is instrumental in removing contractors and contingent workers from the equation. 

Using automation, organizations can also save costs indirectly by improving the efficiencies of current technologies deployed.

Shorter cycle times and enhanced throughput

In industries like manufacturing, enterprise automation systems help companies speed up product cycle times in an automated production line, allowing manufacturers to eliminate waiting time and adjust to shifting customer demand. 

Among other key benefits of automated solutions is their ability to improve employee productivity and capacity. Automation allows employees to automate menial, low-value tasks and free up time for more valuable work. Over 90% of workers say using automation software has helped them be more productive at work.

Process and business scalability

Automation solutions can complete the same tasks on different endpoints within different environments. It means that once a process is automated, businesses can reproduce the solution to execute similar or the same tasks in other departments — with low cost and little human input. Along with process scalability, this also introduces an added value of business scalability.

Refined data quality

As a quality improvement mechanism, well-designed enterprise process automation software eliminates inconsistencies and mistakes caused by the human variable. Automated workflows can identify and rectify data quality issues, ensuring data integrity across systems. 

Increased employee satisfaction and retention

Another reason to justify automation investment is its profound effect on employees. According to a report, automation has improved jobs for 50% of workers and unlocked new career opportunities for 48% of them. Absolved from drudgery, employees can dedicate their time to executing strategic initiatives that propel the organization forward.

Straightforward way to insights

Not only does automation facilitate real-time data access, but it also allows for greater visibility into automated processes by providing an audit trail. In this case, you have a set of documents and files that prove the accuracy of your company’s records. Enhanced data transparency also ensures that your organization remains compliant with applicable regulations.

Keep in mind that automation success won’t arrive overnight. To reap the benefits, you need to back up your automation initiatives with an enterprise automation roadmap and solid governance structures.

Need a helping hand with your enterprise automation?

Reach out

Challenges of introducing automation into your organization

Companies that focus on enterprise automation risk facing challenges on their automation journey. Our experts have highlighted the core ones below.

Selecting the right processes to automate enterprise

Most organizations have a hard time understanding the opportunities for automation. Betting on the wrong business case (such as non-standardized tasks) prevents companies from seeing quick returns from automation efforts and, in turn, dampens the enthusiasm of executives.

Dealing with the technical aspects of deploying an enterprise automation system

The truth is that some companies aren’t ripe for becoming a fully automated enterprise. A perfect storm of legacy software, siloed data, integration challenges, and outdated business operations gum up the gears of automation. Before jumping on an automation project, make sure to bring together data locked away in disparate systems and funnel it into a single source of truth.

Managing the organizational change required to adopt new workflows

Organizational change management is a critical enabler of successful automation initiatives and a common missing link in automation strategies. Automation requires involvement from all levels of the workforce and failing to do so may prevent companies from getting employee buy-in.

Lack of a solid governance structure and enterprise automation roadmap

If your automation project lacks a supporting structure, it’ll likely run into difficulties down the road. Long implementation timelines, high costs of implementation, unclear value of automation systems, and narrow efficiency are common side effects of a half-hearted governance framework. 

Make sure your automation initiative is laid out in a strategic blueprint and centered around well-defined goals, KPIs, and value drivers. Putting a solid governance structure in place will help organizations lay hold of exponential ROI. 

How to win enterprise automation: a detailed roadmap

The survey pinpoints that the automation success drivers include clear enterprise automation strategy and goals, well-picked processes for automation, effective change management, seamless technology integration, and scale-ready automation solutions.

More importantly, enterprise automation solutions should align with the three core aspects of every organization: its leadership, its technological capabilities, and its human resources.

Leadership

Most of the time, automation adoption starts with developing pilots to estimate the viability of solutions. But even in this case, organizations need to have a big picture in mind and use pilots as a launchpad for at-scale automation across the enterprise.

  • Identifying problem areas

Organize a working group to map out areas of opportunity for automation. Your working group should include representatives from each relevant department.

  • Finding the fit for automation

Instead of the big-bang automation, start small by choosing a particular area to automate. The activities most susceptible to automation are the ones in structured and predictable environments, including manual processes, data collection and analysis, standard inputs, rule-based operations, and processes with a high volume of transactions.

  • Prioritizing opportunities

Double down on the opportunities with the greatest potential for success and impact. To reveal the best opportunities, weigh the benefits of automation against the complexity of building the automated process.

matrix for identifying the priority of process automation
  • Optimizing business procedures

Map and audit current processes, including formal and informal ones, to get rid of excessive workflows. Automating a process with 5 steps is easier and cheaper than automating a process with 25 steps.

  • Defining objectives

Set measurable objectives to track your automation progress (added scalability, improved availability, increased operator productivity, and others). Each long-term goal should have one or more specific measurements or indicators.

  • Establishing KPIs

The set of KPIs depends on the process qualified for automation and its key stakeholders (total incidents processed by automation, total cost saved, and others). In any case, your KPIs should be aligned with your business strategy, stakeholder expectations, and industry standards.

  • Securing senior management support

Quantify the potential benefits of automation and present them to executives to build support for the project.

  • Highlighting potential risks

Account for the emerging risks and evolution of existing risks within the organization. Automation may come with new data vulnerabilities, black box problems, culture risks, and regulatory hurdles. 

Technology

The development of technological abilities will determine the pace and extent of your automation efforts. Therefore, you should bank on the right technology resources that can scope, build, and maintain automation processes.

  • Selecting the combination of automation technologies 

Reach out to a tech partner to get advice on your enterprise project and identify the right type of automation for your unique business needs and scope. Then, select an optimal set of technologies and make sure they integrate well with the existing ecosystem. 

  • Integrating the automation solution with your existing ecosystem

Explore the need for API development to bring the systems together and provide access to the organization’s data repositories.

  • Taking care of data quality

Prepare your data for automation by categorizing and sorting it based on accessibility and importance. Make sure you have access to the required source systems and that your input is compliant with your overall data strategy. 

Change management

At this stage, you combine top-down directives with bottom-up support to achieve strategic alignment amongst key stakeholders.

  • Communicating automation goals to the staff

Giving your rank-and-file employees a seat at the table will help you both refine your vision and warm them up to new software. Make sure to be transparent and upfront about the goals of automation and the impact it’ll have on their core responsibilities. 

  • Educating employees

Develop a blueprint for training at-risk employees so they can shift to new roles and build the capabilities they need to transition to higher-value tasks.

  • Embracing Agile working practices

Bring Agile into play to lead change, ushering in the much-needed flexibility for your employees and letting them pivot quickly. By emphasizing meaningful participation, you can iteratively manage the people side of change.

 success drivers of enterprise automation

The missing ingredient for automation success? An experienced tech team

Hire one here

Innovative technologies that expand the possibilities of enterprise automation

Over 60% of organizations are leveraging a combination of cutting-edge tech to expedite their automation efforts. While some technologies deliver an unprecedented level of automation for complex tasks, others are confined in their scale, taking over only straightforward workflows.

Intelligent automation (ML, gen AI, NLP)

Level of automation: high

Whenever you have complex tasks that have intrinsic variability of solutions, intelligent automation is your best bet. By combining AI technologies with RPA, companies can create workflows that trigger immediate automations based on real-time changes. Depending on the nature of your workflows, you can employ machine learning algorithms, natural language processing, or generative AI to create a more intelligent automation environment.

Possible applications: customer service automation, supplier selection automation, vehicle route planning.

Here’s a sneak peek into figures you can achieve, proven by our clients’ projects:

  • A Czech bank enriched their rule-based customer support chatbot with conversational AI functionality. The number of requests that escalated to human support decreased from 37% to 2%. 
  • An Italian transportation company launched a taxi app bolstered by a conversational AI agent. The software resolves 78% of customer support sessions without involving humans.

RPA

Level of automation: medium

Robotic process automation takes the form of software robots or physical robots — with scripts baked into them to emulate human response. Unlike intelligent automation, RPA technologies are incapable of complex decision-making and analysis. Instead, RPA comes into play whenever you need to automate repetitive tasks.

Possible applications: data extraction, form filling, report generation.

Optical character recognition (OCR)

Level of automation: medium

OCR systems automate the process of converting unstructured data into machine-readable, searchable text. ICR software, the successor of OCR systems, ups the ante by enabling the interpretation of various handwriting styles.

Possible applications: loan document management, patient record processing, invoice processing.

Data prep and analysis tools

Level of automation: low

Data preparation tools streamline the entire data preparation process — from data extraction to integration from disparate sources. This automation technology helps organizations gain a coordinated view of their data and transform raw data into a format more suitable for analysis and decision-making. 

Possible applications: self-service data analytics tools.

IoT

Level of automation: high

IoT automation relies on devices equipped with sensors to collect data and transmit it through an interconnected network. This connectivity allows devices to communicate with each other and make informed decisions without manual intervention.

Possible applications: self-driving vehicles, predictive maintenance, delivery requirement management in supply chains.

Augmented/Virtual reality

Level of automation: high

Immersive technologies offer limitless potential for automation in enterprise settings. They can enable interactive training programs, remote equipment monitoring, efficient warehouse management, and assembly line optimization. In most cases, mixed reality applications are used to precisely overlay a digital 3D twin onto a physical object.

Possible applications: digital twins, plant layout planning, design, prototyping.

Winning in automation requires a breadth of view and an at-scale effort

Unlike tactical fixes that are easy for competitors to imitate, enterprise level automation allows for durable forms of value and differentiation with near-limitless potential. To hit it big with automation processes, organizations need to prioritize a human-centered approach and a tech-enabled environment — empowered with strategic leadership. 

More importantly, successful automation initiatives start with a custom approach reflected in every aspect of automation: technology, workforce, and strategy.

Looking for a tailored enterprise automation solution that fits into your system?

Contact us

Nearshore vs Offshore: How To Make the Right Call?

Nearshore vs offshore? Although outsourcing has been deeply ingrained in the world of digital engineering, there are still many questions unanswered when it comes to the right outsourcing type. Lots of companies bask under the sun of offshoring, banking on dev talent abroad to deliver their products. But then there’s nearshoring — with its promise to build cost-effective solutions in geographical proximity to your company. 

So which outsourcing model bodes well for your software development?

Outsourcing models: onshore vs nearshore vs offshore

Location-wise, we can distinguish three types of outsourcing — these include onshore, nearshore, and offshore models.

When companies opt for onshoring, they source tech services within the same national borders — for example, a US-based company can outsource to a vendor located in the US too.

In the pre-pandemic times, onshore outsourcing used to stand high with companies due to its convenience. But after 2020, it lost its appeal as remote and hybrid work took over. Coupled with distributed teams becoming the norm, the need to tighten the budgets pushed most businesses to turn to borderless talent. The math was hard to ignore: hiring abroad often means big savings. Developers in the US, for instance, cost 2-5 times higher than their Eastern European counterparts.

As of 2025, though, onshoring seems to be back in vogue. With political tensions rising and global uncertainty shaking things up, leaders are inclined to focus more on domestic hires to cut risks. However, many are struggling to fill the skill gaps due to a shrinking pool of qualified candidates on-site. To that end, in this article, we decided to focus on nearshore and offshore models.

Even if you’re ready to pay double, you might not be able to fill the skill gaps due to a shrinking pool of qualified candidates on-site. To that end, in this article, we decided to focus on nearshore and offshore models. 

The concept behind nearshoring outsourcing involves transferring digital product development to a country that is close to the home base of the company. In this case, vendors are located within or close to the same time zone and have generally lower labor rates compared with those of the client’s home country. An example of nearshoring would be a tech company in the US outsourcing its development operations to Mexico.

Offshoring means offloading development processes to a geographically distant market, typically several time zones away, with significantly lower rates as compared to the home location of the company. Here’s an example of offshoring: a US-based company moves its tech functions to Eastern Europe. 

Nearshoring and offshoring, illustrated

But how to choose between nearshore vs offshore outsourcing? Let’s compare the two options according to the criteria essential to any project.

Nearshore vs offshore competition: choosing the winner in 5 categories

Just by looking at nearshoring and offshoring definitions, it’s hard to pin down the value of each for your specific business case. That’s why, we’re giving the skinny on both models to help you choose the right path.

1. Cost efficiency

When it comes to the price, we don’t have a clear winner in the nearshoring vs offshoring battle: it all comes down to the exact location. If we look at the most popular outsourcing locations, we’ll see that the majority of them fall into the same range of $40-$60 per hour. India and the Philippines seem to offer the best deals for labor cost per hour — $20-$40 — but there’s a catch. 

Custom software development rates by country

The unusually low median rates stem from a large number of junior or underqualified talent in the country. In low-cost Asian countries, the percentage of junior developers is much higher than in Eastern Europe, where software specialists move up the ladder faster. 

Also, the lower price might come at the cost of jerry-built products, broken deadlines, and false expectations, so the price shouldn’t be an overriding factor when choosing a vendor.

2. Communication and collaboration

If we approach the offshore vs nearshore dilemma from the communication perspective, it’s easy to conclude that nearshore outsourcing beats offshoring. 

Indeed, farming out software development to nearby countries allows you to collaborate with nearshore development teams in similar or slightly different time zones. This, in turn, facilitates real-time communication during overlapping working hours.

Conversely, offshore moves your project further away, so differences in time zones are more significant. But despite that, in most cases, you can easily offset the time zone differences for both nearshore and offshore outsourcing. 

Regular check-ins with engineers, a consistent delivery process, a calibrated development flow, and availability of up-to-date collaboration tools help overcome the erstwhile insurmountable hurdles of time difference. This idea is backed up by thousands of effective collaborations between Northern American clients and Eastern European vendors (the size and quality of the Eastern European outsourcing market also proves the point).

3. Visa restrictions and location accessibility

A possibility of regular on-site meetings at your or your vendor’s office might be a critical step in selecting an outsourcing software development service provider. In this context, rather than making the distance-based choice, you should look into the visa requirements for the vendor’s country residents and vice versa as well as the ease and cost of travel and political stability in the region. Ask yourself if you really want to fly there regularly. 

4. Access to talent pool

The difference in access to talent between nearshore and offshore services lies in the availability of tech experts in different areas. Mind that the time zone and geographical proximity come second here, as the level of tech expertise in the area correlates with the level and accessibility of local education.

For example, Poland ranks third among the countries with the best developer talent, while the Polish education system is ranked fifth in Europe and tenth in the world. The country also has the largest pool of technology talent in Europe, with more than 295,000 programmers. See the connection? The Polish talent pool expands thanks to the continuous inflow of university graduates into the labor market.

op 10 countries with the best programmers in the world

5. Security and compliance

It might seem that in this case, the ball is in the onshore court, but not necessarily. Both your offshore and nearshore software development team can meet your stringent security requirements if the vendor’s commitment is confirmed by security certifications such as ISO 27001, ISO 22301, and the like. A dedicated seasoned team and an adequate security approach increase the odds of the vendor addressing your security needs.

Keep in mind that some developing countries have radically different laws about intellectual property rights, offering very little protection against intellectual property theft. Make sure to examine the legal landscape before letting the vendor into your data pipeline.

Adherence to local regulations is another aspect that comes to the fore. If you’re building a product that’s subject to EU regulations such as GDPR, PSD2, and others, it makes perfect sense to choose a tech partner located in the European Union as you’re bound by the financial and legal constraints. But even this factor is arguable as vendors’ hands-on experience with regulatory compliance counts more than their location.

When your project is large and complex or calls for stringent security measures, the offshore vs nearshore showdown doesn’t really matter, as, with the help of your tech partner, you can set up a dedicated development center, regardless of the location. The center comes with private office space, authorized entry, software access control, and built-in network security — an unbeatable combo to ensure full adherence to your company’s quality standards and protocols.

Power your software projects with *instinctools’ proven expertise

Schedule a call

The good and the bad of nearshore vs offshore outsourcing

Nearshoring vs. offshoring: pros and cons of both

It’s difficult to nail down the universal benefits and challenges of nearshore outsourcing and offshore software development as the experience varies depending on a client’s location. For US companies, nearshoring often means partnering with Latin American firms, whereas offshoring might involve collaboration with a software development company in Eastern Europe or Southeast Asia. Conversely, British organizations might find their nearshore options in Eastern Europe, with offshore opportunities in Latin America.

We’ve highlighted the potential advantages and hurdles of each model, focusing on the geographical closeness and remoteness of the outsourcing destination.

Pros of nearshore software development services

  • Real-time communication during your working hours

Working with nearshore outsourcing companies, you can minimize the challenges of coordinating work across different time zones. No midnight calls or unproductive business hours — similar time zones allow communication and decision-making to happen in real time, reducing delays and maximizing the efficiency of the development process. Better yet, if you share a similar cultural background with your nearshore developers, you can connect on a visceral level. 

  • On-site meetings and regular visits

For projects requiring frequent face-to-face interactions or the ability to quickly arrange in-person meetings, nearshoring offers a logistical advantage. For instance, a Canadian tech firm needing regular integration sessions with its development team could choose a nearshore provider in Mexico or Colombia over an offshore provider in Southeast Asia.

Cons of nearshore software outsourcing

  • Limited choice of potential partners

Narrowing down your search to nearby locations, you trim down your pool of vendors to a few nearshore development teams. The unsubstantial supply of expertise might take a toll on projects sensitive to niche skills, leading to unsatisfactory collaboration between the company and the vendor.

  • Risk of backdoor offshoring

Turning to the nearshore software development model, you expect a high level of services and top-grade products. However, this doesn’t mean you eventually get what you paid for. Some vendors contract out some of their development to offshore locations to cut down costs and benefit from the price difference. No benefits for the clients though — backdoor offshoring often results in sub-par deliverables.

Pros of offshore software development

  • The ability to choose the most cost-effective option

Offshore development partners are known for delivering big-time features without big-time investments. That’s probably why Google, Microsoft, Oracle, and other tech giants gravitate towards offshore outsourcing services. Most importantly, offshoring software development allows you to cast your net wide and reel in the vendor that promises the most value for the money.

  • The possibility to scale operations globally

Companies aiming to expand their presence in international markets may use offshore development teams as a heavy hitter on their way to new markets. For example, a European company planning to launch products in Asia might establish an offshore development center in Singapore to gain insights into the Asian market and tailor their offerings accordingly.

  • Extensive choice of workforce

The main difference between nearshore and offshore (and the biggest benefit of the latter) is a great selection of development partners and software engineers. With offshoring, you’re not shackled to specific locations, you can embrace international talent in all its diversity and extend your teams however much you need to. 

Cons of offshore software development

  • Far distance

Naturally, offshoring comes with a large geographical distance which makes on-site visits more difficult compared to nearshoring. Therefore, offshoring may not be the strongest suit for your business if regular face-to-face meetings with your partner are essential.

  • Insufficient time overlaps

If you want to bring it on with an offshore team, you might need to go the extra mile to manage your overseas talent and make up for different time zones. In particular, you should be intentional and consistent in communicating with your offshore company and have dedicated project management tools in place to track the project’s progress. Also, unless you or your partner commit to working outside business hours, real time collaboration will be hard to nail.

Move forward with *instinctools’ team of software development experts

Set up an intro call

Nearshoring vs offshoring: it’s all about the right vendor

Nearshoring vs offshoring: key considerations when choosing

You want to hear the big secret? It makes no big difference whether you work with a nearshore team or an offshore team until you have an experienced tech partner. The right outsourcing company should check all the boxes in terms of process maturity, expertise, cultural compatibility, time zone alignment, and cost efficiency — and that’s the secret recipe for a successful collaboration. Let’s see how you can come across this breed of outsourcing partner.

What to look for at a country level?

Although the right outsourcing location is a story of different strokes for different folks, several important data points hold true for all great outsourcing destinations. 

  • Established outsourcing hub

Prioritize sites featured on the global IT map as frontrunners in the outsourcing industry. Typically, mature outsourcing destinations have an advantageous geographical position, a large base of qualified workforce, a favorable investment climate, and modern business-related infrastructure. When the country’s IT sector is on an upswing, it also means that this sphere is likely supported by the country’s government, resulting in more tax preferences and fewer trade restrictions for foreign companies. 

  • Affordable costs 

You don’t want to trade quality for price, but choosing the right outsourcing location can help you get the best of both worlds. Look toward the country where the cost of living is lower than in developed countries but the quality of talent and services is high. Remember that the more accessible and high-level local education is, the more qualified tech talent is in the area — and you can get it at a fraction of the cost.

  • Compliance with global regulations

When choosing a location for an outsourced software development team, you need to make sure the country recognizes international standards and complies with global regulations such as ISO 27001, PCI DSS, SOX-type regulations, and others. Failing to adhere to the standards and regulations may result in derailed projects, hefty penalties, loss of reputation, data breaches, and other misfortunes.

  • English proficiency

Imagine being not able to communicate your vision to your development team because of the language barriers. To head off this scenario, go for a location with a high level of English proficiency. Poland, for example, is ranked 15th based on English language skills with other European countries following.

  • Security and predictable law system

A key to successful outsourcing is choosing a country with strict data protection and a transparent law system. Ideally, you should contract out your projects to a country where business laws closely match those in your location. But legislation transparency isn’t the only consideration: as a client, you will likely bear the tax costs of an outsourcing transaction, so we recommend choosing a country with fewer tax implications.

What to look for at a company level?

The choice of a tech partner can be kill-or-cure for your outsourcing experience. That’s why calling on the right tech ally is crucial to get your project off on the right foot.

  • Ample and relevant expertise

An ideal outsourcing company should have a proven track record of delivering similar projects, while also possessing the necessary skills and domain knowledge to handle your unique requirements. You can get a broad-strokes idea of their expertise by reviewing references, case studies, and client testimonials. 

  • Comprehensive developers’ skill set

It pays to have a cross-functional development team with the depth and scale of the skill pool in case your project requirements or product vision evolve. Therefore, give priority consideration to tech companies with complementary skills that may come in handy during software development (for example, AI for mobile and web development projects).

  • Adherence to best development practices 

Technical skills aside, the product development outsourcing process has to include an element of trust. Nothing better than a time-tested delivery framework of your tech partner can give you that peace of mind. Best Agile practices, product-first mindset, and DevOps tools are a big green flag for a vendor and an indicator that your outsourcing project is in good hands. And don’t forget information security — your potential tech partner should have multi-layer quality assurance practices, secure coding practices, and other guardrails for Fort Knox-like development.

It’s a toss-up between nearshore and offshore

Both nearshore custom software development and offshore outsourcing open up opportunities for companies looking for high-value cost-effective product development and innovation opportunities. It all depends on the angle you look at both options, your unique objectives, and the outsourcing location. Both collaboration models bring forth a set of benefits that can turn into disadvantages if executed wrong. 

More importantly, the success of both options is contingent on the expertise and commitment of your outsourcing partner. A seasoned, committed vendor can crack the hard nut of outsourcing and make it almost as easy as a cakewalk.

Hire a dedicated software development team you can trust

Contact us

FAQ

What is the nearshore software development model?

The inverse of offshoring, nearshore outsourcing services involve contracting out your software development project to a nearby country. A nearshore software development company is typically located within the same region so that businesses can benefit from the geographical proximity of development teams.

What is an example of nearshore outsourcing?

An example of nearshoring would be a US-based company hiring nearshore software developers from Mexico.

What is the difference between offshore and onshore services?

An onshore company is located in the client’s home region, usually within a 2-5-hour driving distance, while the offshore model means hiring developers from a foreign country.

What is the difference between nearshore and offshore software development?

The main difference between these two models lies in the geographical proximity of the outsourcing location. Nearshore software development teams are usually based close to the company and within similar time zones. Offshore teams operate in an overseas, low-cost location, many time zones away.

Why is nearshore better than offshore?

Both models have their pros and cons. Engaging a nearshore company enables businesses to reduce the costs of development and expand their access to developer talent. This option also allows for on-site visits and real-time collaboration. However, the pool of nearshore talent is limited to a few locations. Outsourcing your project to an offshore dedicated team lets you significantly lower the cost, rely on global talent, and establish your presence in foreign markets.

How to Outsource Web Development: Collaboration Details, Cost Factors, and a Checklist On Choosing a Perfect Vendor

Regardless of your location or business domain, having a web presence is non-negotiable in today’s interconnected world. This realization frequently evokes the question of how to skillfully and efficiently establish and uphold this presence. For many, the answer is to outsource web development.

Web development outsourcing has become a compelling alternative to in-house teams because of an optimal benefit-cost ratio of the former. In fact, an increasing number of companies contracted out their web engineering in 2024 — and the trend persists in 2025. As the IT outsourcing sector is projected to reach $701 billion by 2028, the shift towards outsourcing web development isn’t just a passing fad — it’s a strategic move for companies looking to speed up their growth and refine operational productivity.

As an outsourcing company with 25+ years of experience, *instinctools has collaborated with companies of all sizes to assist them with web and mobile app development. In this blog post, we share tips, hacks, and main considerations that will make outsourcing web development projects easier for your company.

What makes 60% of companies opt for outsourced web development?

3 in 5 organizations turn to outsourcing for software development and that alone is quite an endorsement for this business model. But let’s dive deeper and single out five core reasons for outsourcing web development as stated by our clients.

The urgency to innovate

Over time, outsourcing has evolved into a catalyst for innovation that gives companies access to niche skills and advanced technologies that may not be readily available in-house. Companies that outsource web development pick the brains of lead web engineers and deliver digital products faster, thanks to the added bandwidth. This agility, in turn, fosters a culture of continuous innovation and puts companies ahead of the competition.

The need to cut costs

In the face of economic turbulence and rising talent costs, companies lean toward outsourcing web development projects to reduce the cost of custom software development and innovation in general. According to Deloitte, over 60% of companies choose outsourcing because of its cost-saving potential.

Not only does this approach allow you to hire a web development team at an affordable cost, but it also eliminates expenses related to non-essential resources and infrastructure. 

Tech talent shortage

A large talent pool is usually cited among other core benefits of outsourcing web development services. The tech industry is moving towards more specialized skills, such as artificial intelligence and data science, which are quite expensive and hard to get on-site. This skill shortage can be outflanked by using outsourcing strategies.

Unlike in-house hiring and associated recruiting headaches, outsourcing reduces your time-to-hire and increases the odds of landing the right talent. Considering the growing concern around tech talent shortage, this might be a fine option to beat the talent crunch.

The need for scalability and flexibility

Usually, an outsourcing vendor has developer talent on tap, allowing companies to extend their teams without the financial commitment of hiring in-house employees. So once the busy stage of the project is over, you can easily scale down to a smaller team. It also means that your ideas aren’t limited by the number of employees you have on staff. 

Time to market is critical

In digital product development, “yesterday” is an ideal timeline. When outsourcing website development to a reliable outsourcing partner, you don’t start from scratch or spend much time on hiring and onboarding. Instead, you get your project off the ground within days or weeks, hooking into the capacity needed to speed the heavy lifting of software product development and beat your competitors to market.

the reasons why companies outsource

In most cases, there is no single reason why global companies farm out their engineering initiatives. It’s usually a whole suite of aspects that tip the scales towards outsourcing. At *instinctools, we have asked our clients what seemed to be the determining factor of outsourcing for them. In our case, 55% cited cost reduction along with an easily accessible and competent talent to have the most tangible effect on their operations. Over 25% singled out innovation speed, while the remaining 20% said that faster time-to-market has been the most beneficial for them.

Outsourced web development has many flavors: what engagement model should you go for?

To outsource web development successfully, the right engagement model with the tech partner is important. The engagement model defines project expectations such as the level of scalability, commitments, pricing, and other aspects. 

three collaboration models for outsourced web development

Team augmentation

IT staff augmentation allows you to extend your team temporarily by hiring developers to handle a specific part of the project. Depending on the project’s complexity, scale, and specific needs, you can involve as many individual professionals as you need.

You can bring in additional talent when you need to:

  • Fill skill gaps fast and at a lower cost
  • Tap into specialized tech expertise 
  • Improve your web development process by adopting new practices
  • Increase the productivity of the team when faced with a tight deadline.

The main benefits of hiring web developers based on this engagement model include:

  • Better project control — the vendor’s developers work as a part of your in-house team
  • Cost savings — you just pay for what you require, excluding employee benefit expenses and such
  • Faster project execution — you add additional capacity to your team and can accelerate the project delivery
  • Talent agility — you can respond quickly to business needs, meaning scaling your team up and down, without the burden of in-house hiring

For example, this strategy was a go-to option for an EdTech company that needed only frontend developers to help with their mounting LMS backlog and QA engineers to set up manual and automated software testing. 

Dedicated team

Within this engagement model, you outsource web development services to a cross-functional team of skilled professionals who work exclusively on your project or set of projects. A dedicated team functions as a self-managed unit, responsible for maintaining and improving all the software development processes, from new member onboarding and knowledge sharing to delivery management.

Engaging a dedicated engineering team in your project makes sense when:

  • You need to delegate the implementation of a long-term project with frequent scope modifications
  • You want your product to be developed end-to-end by an outside team
  • If you are a startup and lack technological expertise in-house
  • When software development isn’t included in your core business activities and you want to outsource the entire tech function
  • You need to hire a multi-disciplinary development team at short notice

The dedicated team model brings the following benefits to your table:

  • Consistent software delivery — the team is committed solely to your project and shares responsibility for project outcomes
  • Seamless team integration — the team works closely with the client, allowing for day-to-day interactions and knowledge sharing
  • Flexibility in project scope and timeline — the team easily adapts to changing requirements and priorities 
  • Easy project management — you can stay as involved in product development as you want

This model clicked with our another client, a French eyewear manufacturer and retailer , who wanted to delegate all of their software development and upkeep tasks to a team of cross-functional experts located in a more budget-friendly European region. Instinctools’ Poland-based dedicated team took on their web development projects, speeding up the process while cutting costs.

Offshore development center

This collaboration model is radically different from the other two, as it enables companies to establish an entire setup in another country. An offshore development center (ODC) is usually located in a country that offers low labor costs and a diverse pool of skilled IT professionals. The offshore development center allows you to outsource the whole practice, construct and evolve it according to your product growth strategy. Any specific security procedures and personnel training can be implemented flexibly within this engagement model. 

Companies think of setting up an ODC in an offshore location when:

  • They have special data security requirements
  • The project is huge and the company needs a continuous loop of delivery 
  • They want to expand their operations to another country and/or market

The most common benefits of ODCs include:

  • Reduction of operational and innovation costs — organizations can significantly save on salaries and overhead expenses when transferring their operations to low-cost destinations.
  • Focus on the core business needs — companies can keep their in-house teams busy with high-priority tasks.
  • Full compliance with your requirements — your ODC team is fully aligned with your industry regulations and business processes.

This approach was the only option for a crypto startup that wanted to make crypto transactions as reliable and trustworthy, as traditional fiat operations. The client needed subject matter experts who know crypto-specific security standards and compliance requirements as the back of their hands and can set up a development center with a secure physical perimeter. We met all the requirements, empowering the software to become a hit for EAEU countries.

Below, we’ve summed up the main data points about top outsourcing web development models.

CriteriaTeam augmentationDedicated TeamODC
Cost-efficiencyMediumHighHigh
Control & oversightHigh level of controlMedium level of control Highest level of control
ScalabilityHighHighHigh
Vendor’s responsibilityLowMediumHigh
Commitment/DurationShort-run projects and select tasksMedium and long-termLong-term strategic projects
Project Management communicationOn the client’s sideOn the vendor’s sideFlexible, depending on the specific requirements
Cultural fitLowMediumHigh

As you see, there is no definite answer when it comes to choosing the right engagement model. Everything comes down to your business goals and project specifics.

Having trouble choosing an engagement model?

Schedule a consultation

Let’s talk numbers: what factors influence the cost of outsourcing web development?

However much we’d like to deduce a hard-and-fast formula to calculate the costs of web app development , it’s difficult due to a large number of variables; however, we can follow some general guidelines. 

The web outsourcing team involved, project scope, location, and many other factors influence the costs. Below, our web development outsourcing company has listed the main cost drivers to give you a better grasp of what makes your outsource web development projects.

These are costs directly associated with your solution and with the effort it takes to implement it.

  • The number and complexity of application features.

The more complex your web application is, the more hours it will take your web outsourcing team to build it. For example, you’ll spend less for outsourcing Shopify web app development services compared to a custom blockchain platform. The complexity of your project doesn’t boil down to the number of features and screens only. Unclear requirements and novelty of your idea also increase the development and testing effort required from the team.

  • Requirements to software performance, availability, security, latency, and scalability.

Adapting your web application to meet predefined requirements, whether it’s security or scalability, means that your outsourcing provider has to employ additional expertise, infrastructure, or workforce to hit the mark.

  • The complexity of the application logic and architecture 

Complex software architecture with highly interdependent components implies spending more time on planning, designing, implementing, and debugging the solution. The more technologically diverse your architecture is set to be, the more specialists you need to involve.

  • The number and complexity of integrations with other software

The variety of data formats and communication protocols can make the integration of third-party services, legacy systems, and various data sources more resource-intensive, translating into additional costs. A custom, from-scratch integration is another expenditure item in your development.

  • Cutting-edge technologies (machine learning, gen AI, AR/VR, and others)

If you want to integrate the latest and greatest tech into your application, be ready to cover related hardware, software, and labor costs.

  • The need to migrate data from legacy software

The data you need to migrate can be poorly formatted or incomplete, making your development team clean and process it first. Also, larger datasets require more time to migrate, especially if developers have to write complicated scripts to migrate them.

  • Regulatory compliance requirements 

If your application falls under some kind of regulation such as HIPAA, PCI DSS, GDPR, and others, your project development process must include the implementation of specific data security safeguards, running network and security audits, and other measures that incur additional costs.

  • The uniqueness and complexity of UI design

More sophisticated, fully custom web app design calls for considerable effort from designers and developers, while OS-provided elements trim the development cost. Also, the more screens, platforms, and devices your app is intended to cover, the greater your total is.

It may seem like development and testing expenses are the only cost drivers that shape the web development total. However, some less obvious factors can also lift the costs.

  • The team involved 

Outsourcing your web project to a cross-functional development team with specialized skills will cost you more than augmenting your in-house team with a solo developer. Projects with a large number of stakeholders require more support roles to improve communication, which also makes your initiative more expensive. 

  • The development approach

Some web development companies rely on low-code development platforms or ready-built components to reduce development costs. Conversely, fully custom solutions will cost you a pretty penny.

  • The location of the outsourcing web development company 

Where the development team is based geographically can considerably impact the cost. For example, an outsourcing web development company located in North America or MVP development company in USA will have far higher rates than one positioned in Eastern Europe or Asia. Hold onto this thought — we’ll dwell upon that later.

Three types of pricing models: which one to choose?

Choosing a suitable pricing model is akin to choosing a pricing plan for any digital tool: strike the right balance between dollars paid and outcomes you get. Opting for a plan that doesn’t align with your project scope, duration, and specific business needs can lead to wasted resources, missed opportunities, and unnecessary expenses. 

Let us make this choice easier for you.

Fixed Price

A fixed price contract means that the client and the software development company agree on a fixed price for the custom software development project before it begins. The price is calculated based on the scope of work, requirements, and deliverables agreed upon by both parties.

Advantages of the fixed price contracts include:

  • Predictability — you know the exact cost of the project upfront and can plan your budget accordingly. 
  • Fixed deadline — this model implies certainty in requirements and final deliverables, making it easy to estimate the timeline for the project. 

Cons of the fixed price model include:

  • No flexibility — once defined, product requirements cannot be changed so no modifications are allowed during the development process.
  • Less client involvement — although it may be considered an advantage, less involvement sometimes leads to miscommunication and unmet expectations.

Here’s when it makes sense to engage in this type of contract:

  • When you have a small-scale, one-off project such as an MVP or a PoC. 
  • When your project requirements are rock-solid and unlikely to change.
  • When your web development project budget is limited and/or you’re pressed for time.
pros and cons of the fixed price model and when to use it

Time & Material

This pricing model provides web development services on an ongoing basis, whereby the client pays the vendor for hours spent on the project and reimburses pre-approved expenses. The T&M contract is based on a general scope and time estimates that can evolve.

Advantages of the Time & Material contracts include:

  • Flexibility — you can change the scope based on the project dynamics.
  • Faster time to market — this model allows you to get into app development right away and deliver the product to potential end users faster.
  • Reduced risk of scope creep — you are well aware of the final deliverables and can fine-tune them at each development stage.
  • Scalability — you can scale your team up or down on demand.

Cons of the Time & Material price model include:

  • The risk of going over budget — lack of budget predictability can make it difficult to plan your resources. 
  • Undefined deadline — as the scope is subject to change, you can’t predict an exact release date.

Choose the Time & Material pricing model when:

  • You have a complex project with dynamic requirements. 
  • You expect your project to be long-term and ever-evolving.
  • You want to have more control over what is being developed.
pros and cons of the time and material model and when to use it

Dedicated team

In the dedicated team model, an outsource web development company charges you monthly based on the team size. The total cost is made up of the members’ rates and the vendor’s fee.

Unlike all other pricing models, this option allows you to bring in an entire, cross-functional team to handle your project, including a project manager, business analysts, QA specialists, and others.

Advantages of working under this arrangement include:

  • Reduced cost of development — having an outsourced dedicated team to work on your project is less expensive than hiring an entire development team in-house.
  • Flexibility and scalability — you can easily add or remove team members to adjust workloads and adapt to changing needs.
  • Project knowledge retention — your development team dives deep into the project to study its unique needs and can use this knowledge to introduce new releases.
  • Clear pricing — you know the rates of each team member.

Cons of the fixed price model include:

  • Requires a long-term commitment — the model is not suitable for short-run projects.

Here’s when the dedicated team pricing model is your safe bet:

  • When you want your long-term web project to be delivered end-to-end 
  • When talent retention on the project is of great importance 
  • When you’re at the beginning of an innovative project with an unexplored scope that can benefit from the ability to experiment.
pros and cons of the dedicated team model and when to use it
Fixed PriceTime & MaterialDedicated team
Project sizeSmallMedium and largeLarge
Project durationShortAverage or long-termLong-term
RequirementsDefinedEvolvingEvolving
FlexibilityLittleHighHigh
Project budget and timelineFixedFlexibleFlexible
Client’s level of involvementLittleSignificantHigh
PaymentSingle price for the entire scope of workHourly+MaterialsLabor costs + Fee

Outsource web development on your terms

Get a quote

Cut down risks, dial up value: best practices of web development outsourcing

You can always recognize experienced web developers by the way they approach the development process. Web development teams worth their salt have calibrated project management and quality management frameworks that they incorporate into the development process to reduce development costs by 1.5-2 times, speed up the process, and ensure high quality of the final product as well as meet clients’ expectations. 

Here’s what qualifies as the best practices for outsourcing web development.

Comprehensive delivery

Full-scale web development encompasses a lot of activities aimed at bringing your software to the market, including discovery, design, development, and others. Your development team needs to find an optimal way to link all activities into the same chain and unite each team member around a common goal, while also effectively tackling product development challenges.  

The only way to do that is by putting a trusted delivery model in place that would serve as a guide for the entire software development lifecycle and facilitate collaboration. At *instinctools, the delivery model is anchored in the principles of DAD (Disciplined Agile Delivery) and PMBoK. Thanks to this model, our teams can effectively share project knowledge, reduce development risks, and deliver on the client’s requirements.

Web application delivery process at *instinctools

Web application delivery process at *instinctools

Compulsory discovery phase for projects with vague requirements

You know what stands behind 64% of software defects? Superficial discovery activities. The success of your web product and web development outsourcing in general hugely relies on proper planning and preparation — and that’s why a thorough discovery phase makes all the difference. 

During the discovery phase, your outsource web development company can validate your idea with valuable market and target audience data, refine project scope, prepare solution architecture, and document software requirements specifications. This lays the groundwork for future development and prevents you from investing in unnecessary features.

Commitment to code quality

Readable, easily maintainable, highly efficient — that’s the type of code your web apps need to live a long and prosperous life. A decent outsourcing web development company should have a quality management framework in place and a set of guidelines to standardize code production.

Your vendor should be also well aware of industry-specific coding standards, have a code review system, and know how to proactively manage technical debt. The DevOps methodology and CI/CD should become regular practices for your vendor if you want a high-quality product.

Intellectual property protection

The risks associated with IP theft are intrinsic to outsourcing projects that include proprietary data and code (most projects). To safeguard your intellectual property, you should establish a confidential relationship between your company and the vendor by signing a non-disclosure agreement. Make sure your tech partner has data access controls and encryption to safeguard your sensitive data.

Security and compliance

If you’re building an application for a heavily regulated market such as healthcare or banking, compliance with HIPAA, MDR, GDPR, PCI DSS, and other regulatory requirements should be baked into the development process from the get-go.

Post-implementation maintenance and support

Web development doesn’t end the moment the solution is pushed out into production. To maximize the value of your software and put it up for long-term growth, you should perform regular upkeep and continuously refine the solution based on user and stakeholder feedback. Therefore, post-release maintenance and support should be part of the vendor’s commitment to your company.

There’s no place like….five best countries to outsource web development

The cost of web development depends not only on your team’s skills and seniority, but on where your outsourcing partner is located as well. Onshore outsourcing is contracting the tasks to someone outside your company but within your country at, give or take, the same cost. Nearshore outsourcing web development provides capacity nearby and can save up to 30% in development labor costs depending on your location. Offshore outsourcing is considered to be the most cost-effective solution, as you outsource the development to a low-cost country, yet it’s furthest away, which introduces greater cultural and communication risks.

While geographical proximity is important in some cases (e.g. need for on-site visits), mature processes, expertise, cultural alignment, cost reduction, and security are more critical factors to justify your choice. With that said, let’s take a look at the best places to outsource web development.

a world map with the best countries to outsource web development

Poland

Rate: $40 to $99

Pros: 

  • High concentration of affordable talent
  • Belongs to the Central European time zone
  • High cultural and business affinity with Western Europe 
  • EU-level protection of intellectual property
  • Strong R&D market

Cons:

  • Poland has quite high living standards so it might cost you more to build a web app here compared to low-cost locations.

Ranked seventh among the countries with the best programmers in the world (who also speak fluent English), Poland is an attractive outsourcing destination known for its startup activity, stable economy, and innovation strength (41st in the Global Innovation Index). The country is a leading IT outsourcing center in CEE, whose IT outsourcing market is projected to reach $1.8 billion by 2028.

The Philippines

Rate: $28 to $55

Pros: 

  • Low-cost software development 
  • Reliable infrastructure and technologies
  • Established software outsourcing market

Cons:

  • Cultural differences and communication barriers can impact the collaboration.

The Land of the Morning Sun is a notable market for software outsourcing with a projected volume of $1,140 million by 2028. In terms of developer talent, the Philippines is ranked third. Global businesses outsource web development to the Philippines mainly because of low hourly rates.

Brazil

Rate: $30 to $55

Pros: 

  • Reasonable cost of software development 
  • A great focus on tech education
  • An impressive pool of software developers 

Cons:

  • A complex tax structure that increases the costs of development

Web development projects outsourcing companies located in Brazil offer foreign businesses a chance to tap into a diverse talent pool at an affordable rate. The country ranks 49th in the Global Innovation Index and has a rapidly developing IT outsourcing market with an estimated volume of $9.82 billion by 2028. But you should be ready to pay additional taxes for hiring developers from Brazil.

China

Rate: $25 to $45

Pros: 

  • A solid pool of software developers
  • Supportive government policies
  • Great startup culture

Cons:

  • Different IPR laws
  • Language and culture barriers 

China is the world’s second-largest economy — and the local IT outsourcing market keeps pace with a projected volume of $41.60 billion by 2028. The country is an innovation leader and its immense labor pool has made it a hub for software outsourcing. However, the Chinese legal system differs from most Western countries so it may be hard to navigate the local market.

India

Rate: $20 to $40

Pros: 

  • Favorable government policies
  • Lower labor and infrastructure costs
  • Emerging R&D center

Cons:

  • Cultural misalignment
  • Challenges with communication and project management

The country’s enormous talent pool and low costs have made outsourcing to India increasingly popular in recent years. As a leading tech hub in Southern Asia, India has a mature tech infrastructure and an impressive IT outsourcing market volume of over $10 billion. But low development costs may come at a price here: quality standards and work culture differ greatly from those in Western countries.

Deliver your web development projects, effortlessly

Hire a web development team

The key to unlocking your project success is choosing a reliable outsourcing web development company

The success of your outsourcing rests on a strong partnership, so choosing the right outsourcing partner can be a make-or-break decision. Here are five things you should consider when looking for the right tech partner abroad.  

Optimal size for partnership

“Small enough to care and big enough to scale” is still sage advice. If you want to outsource software development successfully, choose a tech partner with enough resources to handle your product growth. But make sure you’re not just another line item and your partner can provide personalized attention and tailored solutions for your unique project needs. 

A fair balance between cost and quality

In web development outsourcing, it’s not just merely about who provides the cheapest service. Lower costs may indicate a compromise on quality or a lack of specialized expertise. Therefore, seek out companies that provide reasonably priced services and demonstrate a clear understanding of the value they bring to your project.

Specialized technical expertise

Be wary of companies that claim to excel in every technology or service area. Instead, look for a tech partner with proven expertise in the technologies and solutions relevant to your project. Ideally, your outsourcing vendor should be also well-versed in your domain.

Credibility and transparency

Don’t be shy to do a thorough background check to verify your partner’s credibility. A trusted software vendor sports a credible online presence backed up with a professional website, authentic testimonials, and a portfolio that showcases their expertise and past successes. You should also look for a partner that prioritizes transparency in communication, especially regarding pricing, experience, business processes, and software development flow.

Product development experience

If your goal is to build a digital product that delivers value to any market, you will need a tech partner with hands-on expertise in growing products from an idea to a product market fit. It means that your tech partner should cover the entire product development lifecycle, including market research, user testing, user-centric design, and iterative improvements. 

An experienced outsourcer in product development can not only execute the product but also advise you on an optimal business strategy and revenue generation model.

Web development outsourcing made easy with *instinctools

Web development outsourcing can get your project underway with minimal disruption to the core company’s functions. Significant cost reduction, faster time to market, and innovation agility make outsourcing a rewarding experience, if done right.

Partnering with *instinctools allows you to tap into 20+ years of tech experience and leverage it for your web development project. From definition and design to development and testing, we pitch in when you don’t have the capacity or expertise in-house.

Get off to a good start with your web outsourcing project

Schedule a free consultation

How to Launch an App: The Ultimate Guide

Let’s end the endless debate on how to launch an app with a single phrase: it depends. If you’re an emerging startup with a nascent app idea, you’re going to start at the very beginning. Get a solid grip on your app idea, create an MVP, acquire lighthouse users, and analyze what you did wrong or right. 

If your product is at its growth stage and you know what you’re doing, you will take a different, more advanced path. Your mobile app should strive to reel in more users, unlock full monetization capabilities, and hopefully secure infinite growth.

Whatever your option is, you may find it challenging to prioritize which fire to address first, and the next best steps to take. That’s why our experts have drawn up a step-by-step checklist that includes the best product launch tips from *instinctools — based on your product maturity.

Round 1: From idea to pilot

If you are a startup with a vague product concept, your idea of a successful mobile app launch boils down to pushing out a pilot solution and testing it in the wild. In your case, you and your mobile app development team are scientists — you hypothesize, test the hypothesis by performing an experiment, and then, assess the obtained results.

Three formative steps to launch an app: hypothesis, experiment, analysis

Hypothesize

A good idea for an app is something that solves the problem your target audience encounters every day. In simple words, your hypothesis is all about finding a nagging problem that exists in an addressable market and solving it with a one-of-a-kind mobile application.

Conceptualizing an app

First, you have to formulate and define the idea behind a mobile application. To do that, your development team works closely with your team to understand the goals, requirements, and vision for the app.

A tangible, viable, and functional app conceptprovides clear guidance to the designers, developers, and other stakeholders involved in the development process. 

Running market research and competitor analysis

If there’s one hard-and-fast rule in mobile app development, it’s to never skimp on the market research — unless you want to build a product no one needs.

Market research blends consumer behavior and target market trends to confirm and improve your app concept. Competitive analysis is a subset of market research that allows you to identify key market players and evaluate competitor apps to see where your product idea fits in.

Both market and competitor research are crucial to identify opportunities for differentiation, scope out potential features, spot weaknesses and strengths of direct competitors, and assess go-to pricing and marketing strategy.

Setting your goals

Without understanding the destination, it’s very difficult to reach it. The goal-setting is focused on gaining an understanding of what the business is expecting to get from the project and how the team can contribute to this overriding goal. 

Usually, there are a few high-level goals behind a project that are then broken down into specific, measurable objectives. At this stage, you also set the KPIs specific to your product. These can include the activation rate, the number of app downloads, MAUs, and other success criteria.

Identifying your target audience

According to Statista, most app categories have an average 30-day retention rate of 1.5% to 11.3%. 

To stick around as long as possible, your product should be built with the potential app users in mind. 

Your product team can fall back on the various techniques to study the app’s target audience. Surveys, social media research, focus groups, and even a dedicated landing page can plumb the depths of your customer’s thoughts, demographics, needs, and goals. The design team then develops user flows to define interactions needed to achieve a common goal via your product.

With all of the flows captured, you can assume what app features are required to let the user achieve their goal. In parallel with this stage, your development team gathers functional and non-functional requirements for the application.

Running feasibility check

Next up, the team evaluates the technical feasibility of the project. Testing for technical feasibility, the team gains confidence in the proposed solution and ensures that the solution can be implemented with the available resources, technologies, and architectures. The proposed solutions should also meet the functional and non-functional requirements. 

If the mobile app development team has been part of the discovery efforts, then by this time, they already know whether the solution is feasible.  

Coming up with a unique value proposition

Your mobile app launch strategy is not complete without a unique selling proposition (USP) that embodies the core differentiators of your product. 

Your app’s unique selling point can be easily distilled from the app’s value map and user persona mapping. 

Deciding on a monetization strategy

So many mobile apps fail to generate revenue just because their monetization strategy is off-target. Understanding the preferences, behaviors, and spending habits of your potential users is crucial for choosing the right monetization strategy. The target operating platform should come into consideration as well.

For example, on the Google Play Store, users gravitate towards free mobile apps, while on the App Store, users are more inclined to make in-app purchases and download premium apps.

four best app monetization strategies

Turn your idea into a revenue-generating reality

Get a quote

Experiment

The previous stage is all about mulling over your new app idea. Meanwhile, the next phase is all about putting your hypothesis into practice.

Choosing a type of the app: native, cross-platform, or hybrid

The decision whether to build a native, cross-platform, or hybrid app depends on the app’s complexity, app’s functionality, and target users. Time to market, budget consideration, tech requirements, and other factors also play a role in decision-making.

an algorithm for choosing between native, cross-platform, and hybrid development

Creating mockups, wireframes, prototypes

While the developers are figuring out the best path to implement your app idea, UX/UI designers are keying in on the looks. By leaning on the user flow, designers develop a realistic model of what the application will look like.

Since this is an experiment, there’s no point in creating a full-blown user interface. Instead, designers can envision the look and feel of the future product by developing:

  • A wireframe — a basic, low-fidelity blueprint for UI designs.
  • A mockup — a more detailed, yet static iteration of the wireframe outline with detailed visual elements 
  • A prototype — functional, pixel-perfect simulations of a ready product used for usability testing and user feedback sessions.
examples of every stage of product design, from a wireframe to a mockup to a prototype

In real life, design teams can start anywhere from low-fidelity to high-fidelity models depending on the project specifics and the team’s experience with the product.

Starting small with a Proof of Concept and/or a Minimum Viable Product 

At this stage, you piece together the insights and drafts to give your idea a real turn. There are two popular approaches to giving shape to the hypothesis while also testing the assumptions: you can either start with a PoC or go into developing an MVP. 

If the idea has been implemented before or there is a similar product on the market, your development team can move on to building a Minimum Viable Product. For example, something as tried and tested as a food delivery app or a dating app can start its journey as an MVP.

However, if it’s a unique product concept, your app development team might need to assess whether the tech assumption can be implemented (without consuming excessive resources or time) and will function as envisioned. In this case, your team should resort to a Proof of Concept that would allow verifying the overall idea’s feasibility. For example, this might be true for IoT-based applications that integrate with a variety of smart home systems.

Incorporating analytics instruments into the app

Just like with any scientific experiment, you need enough data about the app’s performance to draw a conclusion. 

That’s why app developers embed analytics tools like Google Analytics, AppsFlyer, and others into your MVP. 

The tools track application data via SDKs and enable you to get a bird’s-eye view of the user journey and drill down into specific metrics like retention rate, engagements, drop-offs, and others. Along with user behavior, you can crunch the numbers to analyze the performance of marketing channels and calculate ROAS.

Testing

Testing your pilot product is another preparation step in the mobile app launch process. Although you create a product for the sake of functionality, you also need to make sure that the product is reliable and usable. In this case, you don’t have to cover all use cases. Usually, manual testing is good enough to validate the product’s usability.

Submitting the app to the stores

Once the MVP is polished, it’s time to debut it to the audience. Advertising campaigns, word of mouth, robust social media presence, and other marketing magic tricks can help you generate more buzz for your product and attract users. 

Analysis

Publishing an MVP on app stores is only half the battle of setting it up for future success. Post-launch, you need to gather user feedback and estimate the app’s performance to see whether your hypothesis has been a dud or a hit.

If your hypothesis is proven right and your pilot solution manages to rally a lighthouse audience, you can move on to growing your MVP into a full-fledged solution. If not, you rinse and repeat. 

Build a mobile product your users will love

Contact our team

Round 2: Growing your product

When your pilot solution has gained some traction and got some admirers, you can up the ante by turning it into a popular, mature, and resilient product with a high Average Revenue Per User (ARPU). 

At this stage, business owners come to us with a well-defined set of requirements and a well-shaped idea of how, where, and why to grow their mobile applications.

 stages of mobile app evolution

Performing business analysis

Business analysts scope your business requirements and translate them into tech requirements. Together with tech experts, they scope and document the limitations, dependencies, major features, business context, and other crucial input to provide a baseline for development.

Developing a solution architecture that checks all the boxes

Following the tech requirements, technical architects design an optimal architecture for your product. The mobile app architecture lays the foundation for your product and defines what data is collected, how it is transferred, etc. An easily scalable and flexible architecture makes product growth simple and minimizes usability challenges and security issues. 

Choosing a development approach

There are many options available when it comes to the development approach. Each differs by the level of flexibility required, the ability to handle change, and the level of collaboration within your team. 

Most common approaches fall under the Agile group and break the development process into small, manageable iterations so your development team can release functional increments more quickly. In most cases, the team doesn’t use a methodology in its pure form. Instead, your developers combine different techniques to create a unique workflow that goes with your project.

Deciding on the tech stack and the app type

When validating a hypothesis, you don’t need a solid foundation for your product. When building for growth, however, it’s important to choose the right tech stack. A tech stack includes languages, frameworks, and tools used to build your app, so it’s crucial to choose your technologies wisely. But keep in mind there’s no silver bullet, it all comes down to your unique needs.

Naturally, the choice of the tech stack also depends on the target operating system. If you’re building for iOS, your development team will rely on languages like Swift or Objective-C, while Android apps are typically built using Java or Kotlin. Cross-platform technologies such as Flutter and React Native make your application fit for both platforms.

Engineering, testing, and managing risks

Although some may assume that mobile apps are a simple facade that doesn’t require substantial engineering effort, the very nature of mobile app development makes it an uphill task. A mobile app developer has to consider many different platforms and devices while creating an application to make sure the app works perfectly across all target devices. 

To prepare for the engineering stage, your development team sets up the development environment, code servers, and testing servers. If your team is going down the Agile path, they divide the entire development phase into short time-boxed sprints. Each sprint is dedicated to developing specific features and functionalities.

At *instinctools, continuous testing is an essential ingredient of our engineering undertakings that allows our team to spot and address issues early on in the development process. Our QA engineers also rely on automated testing tools to streamline this process and maximize the quality of the deliverables. The implementation of various risk management tools makes it easier for us to guard the project against inevitable risks, issues, and changes.

At this stage, app developers also strike the right balance between innovation and compliance, making sure your solution is up to the industry standards and regulations.

Adding a secret ingredient of a successful launch: beta release

Movies have advanced screenings before the big premiere. Software development has beta testing where your development team makes a beta version of your mobile app available to the public. This pre-release exercise allows the team to test the beta version under real conditions, collect end-user feedback, and resolve any remaining issues before the software’s final release. 

A beta release can be open or closed depending on the group of beta testers. In any case, it gives insights into what enhancements should be made before the roll-out and ensures that the final solution meets the desired quality standards. 

Publishing your mobile product on the app marketplace

The stable application version is finally all set up to be published on the app store of your choice. Before submitting the application, your app developers make sure it’s in line with the Google Play Store and App Store guidelines, including the application’s analytics services, third-party SDKs, ad networks, and more. 

To pave the way for a successful launch, make sure your app’s name, icon, description, and app screenshots are ready for your product page. 

Adopting app store optimization to make a splash

According to research, almost 65% of downloads happen directly after a search on the App Store, while 70% of visitors discover apps through search. It means that if you don’t put your product in front of your audience, users might walk past it, carrying their money to your competitors. 

App store optimization (ASO) elements

App store optimization (ASO) helps rank your app higher in the app store listing and makes it more visible to potential customers. ASO includes optimizing your app name and app title, keywords, description, and other elements for search. Other common ASO tactics include paid ads, category rankings, and top charts.

Monitoring app performance

No one likes having lag issues or using a bug-ridden application. However, bug fixing is a significant time suck for developers. That’s why developers integrate real-time crash reporting tools and analytics into the app before publishing it on the store. 

The tools automate collecting, organizing, and prioritizing app crash reports, giving your app team a better idea of how the app fares in the wild. Developers tackle high-severity and high-impact bugs first, while minor issues are put away for later.

Pushing out regular updates

A constant release schedule is a concept that developers incline to as updates positively impact user experience. The rule of thumb is to present 1 to 2 small improvements per month that include minor upgrades, redesigns, and new features. 

However, the cadence may vary depending on your improvement roadmap, user feedback, and stakeholder requirements. All updates are planned and implemented sequentially based on the roll-out roadmap. Usually, developers release new features through a phased approach by gradually increasing the number of users who get the updated version.

Providing continuous support

New features may provide additional value to your updates, but the most important reason to keep an eye on your app post-release is to make sure it has relevant functionality and faultless performance. A dedicated support team keeps your application in step with advances in hardware and makes sure it stays compatible with new OS versions.

You can also implement a tier-based user support structure to improve your user experience management. For example, the first support tier is your defense line which solves basic usage issues and updates users on the issue resolution process. The second support tier serves as the second point of contact that handles more complex issues related to app or server configuration.

Real-life examples of our projects that approached app launch differently and all panned out

What do *instinctools’ clients across different scales and domains have in common? They approach us with innovative ideas, and we find the right way to implement them. 

  1. An AgTech startup dreamed of a real-time AI and IoT-powered app to monitor 10,000+ plants. As they needed investor buy-in, we charted a smart course from a PoC to an MVP. After fine-tuning the app based on real-world feedback, we delivered a polished, feature-rich solution that wowed investors and positioned the startup for growth. 

A transportation company had to make a bold move to conquer a highly competitive taxi app market. We crafted a full-fledged product with conversational AI at the core of customer support, putting our client at the helm of the local market. 

What cutting-edge sprinkles does your app need?

Let’s talk

Give your idea a go with *instinctools

Timing is crucial for emerging companies. If you launch the product too early, you risk releasing a half-baked application that fails to take off. Enter a market too late and you might be stuck competing against more established companies. Along with timing, the right team and execution also determine the success of your idea and make sure it hits big.

At *instinctools, we know exactly when the critical mass point for an opportunity arrives and how you can grab it. Whatever your product maturity stage is, our experts can take it from there and ensure your application the success it deserves.

Hit the ground running with your mobile app project

Schedule a call

FAQ

How do you successfully launch a new app?

The success of your app depends on how well you plan and execute your launch strategy. First and foremost, you need to make sure that your app idea stands a chance in the market and aligns with the needs of target users. You can check the viability of your idea by developing a Minimum Viable Product. If your MVP manages to attract early users, you can gather their feedback and continue transforming your MVP into a full-fledged solution.

How much money does it take to launch an app?

The cost of app launch depends on your application’s complexity, marketing strategy, and maintenance needs. On average, it may cost you between $30,000 to $150,000+ to launch your application. Keep in mind that this estimate includes only development costs.

Dodge the Bumps: Why Do Enterprise Projects Fail and How to Prevent it?

To make sure your large-scale software development initiative is destined for success, you need first to figure out why enterprise projects fail. 

Deloitte reveals that of 82% of companies that miss their target, 50% achieve less than expected and 42% are late on project schedule. So what are the reasons that contribute to an enterprise project’s stall or fail, and how to safeguard big-ticket solutions?

Our experts are pros at dealing with the challenges of enterprise software development and strategizing your success. Read our guide to get the lessons learned first-hand — without projects burnt.

What is considered a failure for a software project?

“The greatest teacher, failure is.” 

However, the degree of failure makes all the difference and when it comes to notable mistakes, it’s better to learn from others’ missteps rather than pay this high-priced teacher out of your own pocket.

Speaking of software development, a project is deemed a failure if it demonstrates one or several of the criteria:

  1. Doesn’t solve the end users’ problem. Mismatching customers’ needs and releasing an undemanded product is the worst scenario possible.
  2. Falls short of its original business objectives. You might end up with a different product if your tech partner wasn’t guided by your goals to provide expected project deliverables. 
  3. Lacks quality. Jerry-built software is a one-way ticket to project failure caused by the inability to fit into your software ecosystem and scale appropriately. 
  4. Fails to bring intended ROI. If the project can’t meet your ROI target and you don’t see a way to give it another shot, it’s time to stop. Run a retrospective and reflect on why the project went wrong to avoid the same pitfalls in the future.  
  5. Messes with a timeline. Rolling out the project on time may win you a competitive advantage over your peers.
factors that drive project failure

Some of these factors, such as budget and due dates, can be considered tolerable for the purpose of creating a top-quality, secure, and scalable product. That’s how challenged yet viable and eventually successful projects rise.

Hurdles that contribute to statistics on project failure

If you made it to the enterprise level, tasks such as resource planning, risk management, choosing appropriate project methodology, etc. aren’t the tough nuts to crack. However, you can still face common project pitfalls stemming from the complexity and longevity of enterprise solutions.

1. Neglected discovery phase

For over two decades, we’ve been witnessing proofs of the principle: 

Shortcuts on the basics always bite you later. 

As an enterprise project is a marathon, mapping out the route is worth it. And a method to avoid project failure is within your grasp — start with a discovery, or an inception phase. At this initial stage, your tech ally digs into your new ideas and aligns your project vision with business context, market trends, and user needs to shape it into a comprehensive roadmap to a top-notch solution.

The discovery phase isn’t a cure-all, but it can help nip most enterprise software development issues in the bud and unveil strategic opportunities that weren’t on your radar before. 

While project deliverables at the inception stage can vary depending on the specific software development services provider, at *instinctools, we bring a lot to the table to minimize the delta between value and cost.

software project deliverables at the inception stage

Our on-field experience in safeguarding large-scale solutions from failure proves that it’s not too late to take another crack, even if it seems that your project has already gone down the drain.

We were once approached by a European venture capital enterprise that wanted to launch a web platform for VC investors and funds. Their trailblazing B2B2C solution was supposed to pull ahead of the competition, but the haphazard implementation approach of the client’s previous tech partner put the product launch at risk. 

Nevertheless, during the discovery workshop, we tackled all issues — clarified organizational priorities and product vision, aligned the development scope and project plan with updated expectations, and outlined the backlog for future releases. These efforts led to decreased time to market and fruitful rollout.  

Check how the imperilled fintech project made it back on track with our support

Read the case study

2. Flawed delivery model

Delivering on time, budget, and, more importantly, on value is a tricky mission. Adherence to the Agile development approach is a table stake, and it alone won’t hand the desirable outcome to you on a silver platter. 

To ward off shoddy code, jerry-rigged architecture, muddled project documentation, non-transparent processes, and failures in project management, you’ll need a solid delivery model encompassing engineering best practices, a tried-and-true architecture approach, and time-tested project management handbook.

Digital product engineering companies that make the grade in enterprise software development usually build up a custom delivery model backed up with their on-field experience — that’s how we do it at *instinctools. Besides following PMBoK (Project Management Body of Knowledge) and DAD (Disciplined Agile Delivery) principles, we amp up these best practices with our 25+ years of hands-on expertise in crafting large-scale solutions and fortifying them from project failure.

Instinctools' custom software delivery model

3. Constantly changing goals cripple the project’s scope

Another nail in the project’s coffin is inconsistent objectives and the consequent scope creep. According to the Project Management Institute study, in 2024, 67% of projects experienced it.

The Vision&Scope document can call for revision if the market conditions and customer needs have transformed. Nonetheless, even advisable changes should be applied appropriately. Regarding the development cycle, if a sprint’s goal changes, the project team stops it and starts another iteration with re-planning and re-assessment to avoid scope creep and rework in the future.

If the ship was heading north and then got the command to change the route and move south, sending there a few lifeboats wouldn’t make a difference. You need to turn the whole ship in a new direction. It works the same way for product development.

However, changes may be driven by the desire to implement some trending features without taking into account the existing backlog. In such a case, they only clutter up the scope, slow down the development process, and bring you closer to becoming a failed project example.

That is another reason why a solid basis such as a discovery phase is vital — it’s easier to stick to the goal and the path to get there when they are clearly defined. To drill down on the project objectives, put a premium on investigating the market, existing solutions, and customers’ uncovered needs.  

4. Not seeing the forest behind the trees

The degree of a project’s success depends on the business’ overall readiness to embrace the digital transformation, which requires equal attention to its all-important dimensions, from people to processes to technologies. 

For example, you can’t adopt cloud-based ‘everything’ to light-speed time to market without taking care of QA automation and honing unit and integration tests. Cloud migration increases the number of releases x20 per day, and such a workload is beyond manual handling.

One of the major project challenges may also lie in delivering software that seamlessly fits into your existing ecosystem. That’s the struggle one of our clients faced. A global software licensing company was looking for a tech partner to deal with a legacy system modernization as a part of its overall digital transformation journey. We offered two options:

  • Moving fast and renovating the existing software to the most up-to-date solution available
  • Going step by step by upgrading the versions of existing software and, eventually, adopting a coveted modern solution

Want to know which option the customer bet on and how it impacted the software’s maintenance costs?

Check the case study

5. Inadequate governance model affects communication at all levels

We’ve seen projects that had failure right on their threshold because of poor communication between the development team and stakeholders on the client’s side. What are the consequences?

  • Insufficient C-level engagement puts additional stumbling blocks on the project’s path

What are your expectations when hiring a dedicated team for enterprise development? Based on our clients’ experiences, this decision is usually driven by a desire to delegate development tasks to industry experts and get top-quality software with minimal risk of the IT project failure. 

No CEO, CTO, CXO, or other company executives want to be engaged in the development process on a weekly basis and resolve operational issues. They expect to receive monthly and quarterly visualized strategic reports with highlighted key metrics that prove the project is moving in the right direction. 

Yet, no matter how much you want all the magic to be happening behind your tech partner’s doors, top-management involvement — clearly, within reasonable limits — is vital, especially at the initial stages. To arrive at the destination set at the start, C-level product vision should be clearly articulated, documented, and treated as the project’s North Star.

  • Discrepancies in product vision fuels constantly changing objectives 

If several stakeholders on the client side haven’t collaborated much before the project, working together on a roadmap can be a point for bridging the gaps in their perspectives and establishing reliable communication.

  • Misalignment between the stakeholders, tech partner’s team members, and end users can derail the whole project

Matching technology with common sense is a top priority that should be covered by close collaboration between the development team and the client. Minor details can take their toll and lead to crafting software your employees won’t even be able to use. 

Your dedicated team can create a five-star app with ample touch and gesture functionality. But what if the warehouse staff works in gloves and won’t be able to leverage all these touch-based features? As always, the devil is in the details, and your tech services provider should uncover and take them into account from the get-go. 

That’s how we deal with it at *instinctools. We have a project governance framework that implies all-encompassing, multi-level collaboration between team members and a client:

Instinctools' engagement governance framework

Our approach addresses issues at different levels so that they are handled by contributors with the relevant competencies. The majority of head-scratchers are resolved at the project level in a matter of days or weeks. Questions of the company level are discussed at quarterly meetings. 

Instinctools' project escalation process

Here’s a real-life example of tackling a project-level issue before it snowballed into an IT project failure. An automation machinery manufacturer approached Instinctools to create a web app for their innovative driverless forklift system. The project had to fit into a seven-week timeline so that the client could present the equipment at the industry trade show.

Initially, the client’s in-house team was in charge of developing a service for the robot coordination, while we took on crafting a user-centered web app for data presentation. 

However, there was only one robot model for both teams to work with, and transporting it back and forth for testing between the development centers would violate the project’s deadline. Therefore, our team wrote an emulator that served as a temporary substitute for the coordination service, making it possible for the client to showcase the trailblazing forklift model at the trade show. 

Check the full case study for more details

Dive in

6. Chase for the quick win

When it comes to enterprises, one of their pain points is a large ecosystem of heterogeneous internal solutions adopted throughout an organization’s existence and, therefore, challenging to manage and maintain. As a software company that faced and overcame these hurdles while working on our clients’ projects, we totally understand the hunger for affordable software. However, a quick route to success isn’t always the go-to option and may actually lead to the failure of IT projects. 

We once got a request from a manufacturing corporation to review their CI/CD processes and fine-tune them so that everything will keep up and running hitch-free over the next decade. 

However, even consulting standard-bearers such as Gartner won’t risk doing horizon scanning for such a distant future and making bold predictions since the IT landscape changes like the wind.  

Enterprises need to accept their fate rather than expect a wow effect from the out-of-the-box solutions that promise to fix things once and for all. My 15-year experience in managing large-scale projects shows that there’s no way to avoid customization of ready-made solutions for established IT landscapes. 

Nevertheless, be aware of the opposite extreme — over customization, which is just as detrimental to the software and can become one of the reasons why projects fail. 

7. Over-reliance on technology instead of business outcomes

It’s important to look under your feet when walking the tightrope, but if you dwell on the road for too long, it’s easy to lose the vision of the final goal. 

Similarly, technology isn’t a destination; it’s a way to bring you there.

Here’s one more case from my practice. A fintech company bet on an out-of-the-box DWH solution with a $60,000 yearly license, hoping it would solve 90% of their data-related problems. However, the cost of software integration into their ecosystem exceeded $1,000,000. 

A feature-rich, out-of-the-box product — just as they wanted. However, building a custom solution from scratch would have cost much less than adjusting an off-the-shelf solution to their IT landscape. 

8. Mismatched expertise

The root of all the previous problems may lie in hiring the wrong team. If a dedicated team lacks the expertise to cover your enterprise-scale projects, it turns into additional risk you have to manage.

Finding a reliable tech partner and leveraging IT staff augmentation to extend your in-house expertise or outsourcing development tasks to a fully-packed dedicated project team is a golden ticket to reaching your high-level goals while ensuring your solution is secure, and the core knowledge won’t leak outside the company.

To cut the chaff at the initial stage and exclude the team factor from the list of potential causes of failure, validate the trustworthiness of the potential vendors:

  • Verify if they are present on business listings, such as Clutch, GoodFirms, Techbehemoths, SelectedFirms, etc.
  • Scrutinize their market reputation by checking testimonials of previous clients
  • Review the company’s case studies to see if its expertise clicks with your project’s needs
Some reviews of the *instinctools services

Save your time and book a safe pair of hands or a whole dedicated team

Reach out now

Pave the road to fail-proof enterprise solutions

Withstanding unclear objectives, unrealistic expectations, and scope creep while keeping your eyes open to new strategic opportunities isn’t an easy road. Yet having a blue-chip partner by your side allows you to rest assured of achieving desired outcomes. 

Let your tech ally run a discovery phase, clarify organizational priorities, draw up a project plan, choose adequate delivery and governance models, keep project leaders on the same page, track due dates, and more, to avoid project failure and deliver the results you are aiming for.   

Race to the finish without worrying about the tech side

Find a team

FAQ

What are the main causes of enterprise project failure?

There are three dimensions that can contribute to the IT project failure — people, processes, and technology. While enterprises are less susceptible to the process-related causes of failure, they still have much to deal with because of the complexity and longevity of large-scale projects. For instance, neglecting the discovery stage can result in unclear objectives and misalignment between stakeholders, choosing the wrong delivery model can lead to jerry-rigged architecture, and constantly changing goals can cripple the project’s scope.

Why do most projects fail?

Project failure statistics remain high year by year as covering users’ needs with a top-quality solution while sticking to your original business objectives and staying within the budget and timeline gets tenfold more challenging when we talk about enterprise software initiatives. Delivering at scale and avoiding project failure is possible with a reliable tech partner, but not everyone has one.

Instinctools History: From Ambitious Start-Up To Tech Partner of Fortune 500 Companies

Parlaying expertise, talent, and commitment into measurable business outcomes since 2000. 

See how an initiative of young IT professionals transformed into a global custom software development company with engineering hubs across three continents.

History milestones

Founding and early years

Founded in 2000 by Alexey Spas and Diethard Sohn, the company originated in Stuttgart, Germany. 

Initially, the start-up focused solely on custom web development of high-loads. In its early years, *instinctools secured a deal with its first client from the Fortune 500 list — Mercedes-Benz Group AG (former Daimler). Crafting a web-based user support system for one of the leading global automotive companies became a turning point for a five-year-old start-up. 

Growth and diversification

Over the next fifteen years, *instinctools expanded its services to include mobile app development, enterprise automation, legacy software modernization, cloud computing, and more. This shift enabled the company to attract mid-sized companies and large enterprises and bring other big-name clients, such as Helvar, Nostrum, CANet, and Fujitsu, among others.

2015 became a tipping point in the company’s history. Instinctools outgrew the boundaries of a strictly outsourcing software development company and presented DITAworks Webtop, their first enterprise-grade SaaS product for technical documentation management. This product helped *instinctools win two top-level clients — SAP and DEIF.

Educational initiatives

At the same time, witnessing the emerging global talent shortage in the software development industry, *instinctools launched several educational projects to share their hands-on knowledge with young specialists. The company established a Growth academy for promising students in IT-related disciplines, organized offline coding competitions, and delivered lectures for adult professionals in Hrodna, Belarus, where one of the development centers was located. In 2021, the company began hosting online conferences “Tech Times”, discussing technological trends with industry leaders from all over the world.

International expansion

The years 2010–2020 were fruitful in many ways. New offices were opened in Minsk, Belarus,  Moscow, Russia, and Warsaw, Poland. Instinctools also kept expanding their partnership network and signed agreements with Google Cloud, OVHcloud, and Odoo. From 2021, *instinctools operates as a trusted Microsoft Partner.

Team: from 7 to 400+

Instinctools brings together proactive, business-like, and determined doers who shape the company’s DNA as an international software product development and consulting company. Starting with a team of seven, *instinctools has grown to over 400+ employees across ten countries. Key team members:

  • Alexey Spas, CEO 
  • Gunthilde Sohn, Managing Director, DACH
  • Chad West, Managing Director, USA
  • Alexey Astakhov, VP of Engineering
  • Tatsiana Astakhava, CFO

Along with the increasing number of tech and business talents on board, the company’s expertise area and hands-on experience in working with various industries also kept expanding. To date, *instinctools provides services over a broad technology stack, including Java, Python, Javascript, React, Angular, Microsoft Azure, Power BI, Odoo, HubSpot, AWS, and more, delivering robust technological solutions for businesses across many industries:

  • Healthcare
  • Fintech
  • Ecommerce
  • Manufacturing
  • Logistics
  • Automotive
  • Energy
  • Entertainment and media
  • Education and e-learning 
  • Technology
  • Ad-tech
  • Cryptocurrency 

Offices

In the middle of 2024, *instinctools had two headquarters on both sides of the Atlantic: in Stuttgart, Germany, and Potomac, MD, USA. The main development hub is located now in Warsaw, Poland. The company has growing development centers in LATAM, Kazakhstan, and India. The offices in Belarus and Russia operated in the 2010th, were closed. To date, the company provides seamless collaboration to customers across the globe and operates within 20+ time zones.

Awards

Instinctools regularly receives awards on the B2B review platforms, such as Clutch, Manifest, TechBehemoths, SelectedFirms, etc. The company’s expertise has been recognized in a number of categories, including but not limited to the following ones: 

  • Top Custom Software Development Company
  • Top Web Development Company
  • Top Mobile App Development Company
  • Top Ecommerce Development Company

Digital Twin Tech in Manufacturing: Taking Action with Laser Precision

Decision-making with a high degree of certainty has always been the table stakes for manufacturing companies. That’s why robotic process automation likely played a pivotal role at the beginning of your transformation journey, streamlining tasks and boosting efficiency. But the quest for complete control doesn’t end there.

Digital twin tech in manufacturing has won acclaim for offering a comprehensive look at a digital footprint of products and enabling industrials to keep a close eye on possible risks.

But we’ve seen it already with AI applications and the likes. So what makes digital twin technology the superstar of manufacturing?

What is a digital twin in manufacturing? Detailed breakdown

A digital twin is a near-real-time virtual duplicate of a physical product or process, used to analyze the performance of the physical assets. Manufacturing digital twins can visualize the entire production, including every step of the product life cycle. This allows stakeholders to emulate, simulate, predict, and optimize the product and production system.

By relying on IoT sensors, data analytics, and machine learning capabilities, a digital twin can provide a detailed profile of the historical and current behavior of a physical object, minimizing the need for real-life prototypes. Unlike physical simulations, digital replicas have a larger data pool and are not limited in the number of visualized processes. 

How digital twins in manufacturing work

A digital twin of manufacturing is a multi-layer architecture with a combination of components that communicate with each other to execute a specific function. A core differentiator of the digital twin manufacturing framework is its two-way flow of information that returns the insights created by the object sensors to the original source object.

digital twin manufacturing framework

Although the components, relationships, and interfaces vary by the use case, factory digital twins usually include the following building blocks:

Hardware layer

The Internet of Things is the core technology that lies at the heart of digital twin deployment. A whole lot of sensors, actuators, and network devices capture real-world data and send it further for processing and analysis. The choice of the hardware is specific to each deployment.

Middleware layer

This layer comprises all data management infrastructures and solutions that collate and process data from different sources. At this layer, data is also governed, modeled, and visualized to acquire the operational and behavioral awareness needed to simulate, predict, and inform decisions later in the process.

Software layer

The digital twin then uses artificial intelligence to simulate and demonstrate the effects that the changes in design, process, time, or condition would have. Again, manufacturers don’t need to subject real-world objects to those changes, they just simulate them. Likewise, all changes made in the real world are reflected in the real world. The final insights are delivered to the end user via dashboards and applications.

The triple value digital twins bring to your factory

Until recently, a digital twin for manufacturing has been an elusive concept to global enterprises due to the limitations in technology and hefty computing and storage costs. However, the democratization of technology has made an industrial digital twin a sleeper hit. In 2025, the digital twin market is projected to surpass $26.6 billion. Let’s see why global manufacturers are rushing to invest in the concept.

Reduced time to market

In an era where time to market is a critical factor for success, even a tiny mistake made early in the product development process matters. It means you have to get everything right — even the prototype of a new machine — from the get-go. Digital replicas provide a risk-free product development environment, allowing design and development teams to try on different options with no associated cost.

According to McKinsey, the digital twins can yield a 50% faster time to market combined with a 10% revenue uplift. Digital twins in smart manufacturing also accelerate commissioning, facilitate testing via integrated physics engines, and streamline collaboration between different teams involved in product development. 

Emulation and simulation-based development approaches have already gained traction in the automotive and aviation industries. For example, digital twins in the automotive industry allow manufacturers to model mechanical systems on the computer and test them in an emulation or simulation environment.

Improved quality control

A tighter grip on the manufacturing process is among other benefits of digital twins in manufacturing. The technology shows the real-time factory heartbeat – at the process, system, asset, and component layer. That’s why manufacturers can easily spot the improvements to be made, track product performance throughout their lifetime, and monitor product lines and the factory floor. 

The digital twin of the quality monitoring and control in the series solar cell production line
The digital twin of the quality monitoring and control in the series solar cell production line

Digital models can also be used to simulate the performance of products in extreme conditions, which allows engineers to detect flaws and improve product quality.

Preventive and predictive maintenance

Among other things, digital twins are used to bring out actionable insights related to product behavior and production processes. This way, engineers can see the state of any part of the manufacturing system at any time, meaning that every anomaly will be put on sharp display.

preventive and predictive maintenance with digital twins

Digital twin data allows manufacturers to minimize unplanned downtime, optimize maintenance schedules, enhance asset performance, and extend the lifespan of their equipment, reducing the cost of operating.

Many faces of digital twin applications in manufacturing

The digital twin technology in manufacturing comes in different forms and shapes, based on the level of product analysis. Each type of virtual environment is applied to support different applications, while one factory can have different types of digital twins within a system or process.

Component twins

A component twin is a virtual replica of an individual part of a system or product, such as a motor or a valve. They are considered to be a basic form of digital twins, yet are indispensable in providing detailed information about a component’s historical and real-time behavior.

Asset twins

Asset twins are exact replicas of physical products on your factory floor. These are usually made up of multiple component twins and offer insight into their interaction. Asset twins help identify potential improvements in plant processes and optimize each part to increase efficiency, reduce mean time between failures, and optimize energy or water consumption.

Systems twins

System twins are virtual representations of the interaction between assets. In manufacturing, these types of solutions are used to facilitate collaboration between assets and find new combinations to maximize efficiency. Put simply, system twins allow you to map the ecosystem of assets you have and the relations between them.

Process twins

High-level process twins are used to model the entire factory, including all the associated manufacturing operations. Process twins allow plant managers to drill down into product data, assess the time it takes to build a product, and monitor key business metrics.

Technologies that underpin digital twins

Building twins is far from simple, but once created, they offer near-limitless potential. The powerful quartet of four advanced technologies that comprise digital twins makes sure you can capture the full value hidden in the application.

Internet of things

In the manufacturing industry, a digital twin platform is often based on a conceptual model that leverages a combination of BIM, CAD, or GIS data and IoT data. Therefore, the operational intelligence of the virtual model stems from the real-time collection of sensor data. The bidirectional communication between digital twins and physical IoT devices is what allows companies to instantly monitor the behavior and condition of physical counterparts.

Extended reality

Bolstered by extended reality, digital twins promote manufacturing excellence through virtual factory replication. Put simply, the synergy of the two allows users to interact with machines through real and virtual combined environments and remotely control them. XR components also help manufacturers experiment with parameters and situations to test the machine performance.

Cloud computing

Cloud computing provides an easily scalable infrastructure for implementing a digital twin factory. Also, cloud-based digital twins have the computational resources and storage capacity that match a factory’s data needs, while also reducing tooling and setup costs.

Machine learning

Instead of grinding away at industrial data, manufacturing operators make sense of it with ML algorithms. AI-based models process the piles of sensor data, identity patterns, and provide ready-to-use insights about machine performance, maintenance, emissions levels, and other core metrics.

Revolutionize your manufacturing processes with the latest technology

Contact us

Real-world examples of digital twin use cases in manufacturing

Today, an increasing number of high-flying companies are throwing their hats in the digital twin ring, driven by the need to win the innovation arms race. Let’s have a look at some digital twin manufacturing examples and what benefits industry leaders get from the technology.

Production optimization

Applying a holistic approach to digital twin adoption is what maximizes the value you get from it. In this case, digital replicas can reveal areas of improvement related to the speed of cycle times, efficiency, and machinery utilization. 

That’s what Bosch does. The company accumulates all production sensor data and compares it with a digital twin of a high-efficiency production line to flag deviations and analyze trends. This helped Bosch improve its electronic stability program and automatic braking systems by 25 percent.

After-sales support

The production process doesn’t end with delivering the goods to end users. Manufacturers have to constantly analyze the deliverables to enhance the product quality. 

For example, Tesla creates a digital twin for every vehicle it sells and then gathers real-time data from a vast network of vehicle sensors. By analyzing the data from an individual vehicle, Tesla uploads updates to improve vehicle performance, predict failures, and provide a better user experience for the vehicle owner.

Analysis of assembly-floor behavior

The modern factory floor is often too dense for stakeholders to optimize workflows on a hunch. However, by having real-time production data for every asset, manufacturers can have a 360-degree view to analyze machine performance according to KPIs, schedule workforce, and ensure proper routing of materials.

Case in point, General Motors uses a process digital twin to mimic plant floor behavior. This digital twin implementation example facilitates advanced technology to boost production, improve process efficiency, and ensure the sustainability of operations.

Ready-made digital twin solutions to build on top of

A digital twin created on top of the canned solutions can satisfy your initial needs without spiraling innovation costs. Keep in mind that each of the off-the-shelf solutions is different in their capabilities, operating data types, and complexity of digital twins deployed.

  • IBM Digital Twin Exchange – a one-stop solution for manufacturers, OEMs, and third-party content providers that deal with asset, maintenance, reliability, operating conditions, and other types of operating data. Paired with the IBM Maximo Application Suite, it can enable smart asset management and predictive maintenance capabilities.
  • Oracle IoT Digital Twin Framework – a virtual environment for enterprises that allows for creating simple device models and industrial twins. The infrastructure offers accurate prediction capabilities, what-if analysis, and other functionalities needed to improve efficiency.
  • Azure Digital Twins – a PaaS-based offering that allows manufacturers to create digital models of entire environments, connect IoT devices and existing business systems, and develop 3D visualizations of manufacturing environments.
  • Autodesk Tandem – another ready-made solution that facilitates the process of building BIM-based twins. The platform comprises Twin Building and Insightful Operations features to accelerate deployment and connection building.

No matter the virtual infrastructure, you can’t just go with the flow of an out-of-the-box solution. Digital twins are a representation of your unique operations, processes, and assets so you will need to adjust the analytics engine, connect the solution with your internal business ecosystem, and fine-tune the workloads.

By having a team of cloud engineers, IoT developers, and AI specialists on board, your company can develop the processes and capabilities it needs to develop, integrate, and launch its digital-twin platform.

Take a leaf out of our client’s book: start small with manufacturing digital twins

Here’s a great example of how warehouse automation technologies and digital twin solutions can accelerate development cycles and cut operational costs.

Our client, a warehouse robotics manufacturer, didn’t initially plan to opt for digital twin technology when developing software for their innovative driverless forklift system. Their standard testing workflow implied running new apps directly on the hardware.

Nevertheless, this time, it was a no-go option, as the project’s timeline was limited to seven weeks due to the upcoming trade show, where the new forklift had to be presented. The client’s in-house and dedicated teams were located in different countries, so there was no chance of meeting the deadline if moving a single available robot back and forth between development centers. 

Therefore, we suggested writing a digital emulator that completely imitated the forklift’s behavior and testing software on it. Besides delivering the app on the dot, this approach enabled the client to eliminate expenses associated with system transportation between the two development centers.

Want more details?

Read the full story

There’s no need to “rip out and start all over”. Creating an integrated manufacturing architecture as your way to thrive

It may seem that using digital twins for manufacturing processes requires companies to blow up their current architecture and start over. However, companies don’t have to untether themselves from the holistic and interoperable manufacturing architecture they have now. Instead, manufacturers should connect a digital twin to integrated systems such as ERP, PLCs, and others to jump-start their digital twin journey.

In fact, not only can digital twins capture the data flowing in manufacturing systems, but they can also extract more value from it.

From digital twin to enterprise metaverse

The digital twin is a unique, industry-ready technology that ushers in Industry 4.0 capabilities into conventional manufacturing operations. But the true potential of digital twins comes from establishing connections between them. The interconnected digital twin network can simulate complex relationships between entities, allowing industrials to optimize simulations, scenario planning, and decision-making. 

By adding complementary technologies on top, a network of digital twins can turn into an enterprise metaverse — an immersive environment that connects every aspect of an organization.

Join the smart way of manufacturing with digital twin technology

Talk to us

FAQ

What is a digital twin in manufacturing?

A digital twin is a virtual representation of a physical asset that reflects its physical properties, behavior, and performance. The technology uses a combination of advanced tech such as IoT, AI, and data analytics to process and analyze sensor data.

Why use a digital twin in manufacturing?

In simple words, digital twins drive smart manufacturing. They are beneficial for quality management, production optimization, product lifecycle management, factory design and layout, and even operator training. On a higher level, digital twins provide a competitive advantage to manufacturers, reduce costs, and optimize the supply chain.

What is an example of a digital twin in manufacturing?

A great digital twin in manufacturing example is the use of technology to monitor and optimize the performance of industrial equipment. The system collects data on various parameters such as temperature and energy consumption and extracts relevant insights to understand the current state of the machine.

Anna Vasilevskaya
AI modified real photo
Anna Vasilevskaya
Account Executive

Get in touch

Drop us a line about your project at
[email protected] or via the contact
form below, and we will contact you soon.