In a context where digitalization has become a strategic imperative, Design Thinking proves to be an effective method for structuring innovation and avoiding the pitfalls of overly improvised workshops. This approach places the user at the heart of the process while ensuring coherence with technical constraints and business objectives. Swiss companies, facing global competition and high quality standards, find in it a framework to align all stakeholders. Through a proven methodology, it is possible to accelerate the creation of robust, scalable digital services and products tailored to the real needs of end users.

Design Thinking, a Structured Innovation Lever Beyond Brainstorming

Design Thinking is more than just a collection of ideas; it is a methodical process based on empathy and rapid testing. It brings together user, technological, and business dimensions to ensure relevant solutions.

Immersion and Empathy

The first phase focuses on gaining a deep understanding of the user context. Interviews, field observations, and active-listening workshops are organized to uncover motivations, frustrations, and latent needs. This participatory approach involves both business and IT teams from the outset, allowing multiple perspectives to intersect and preventing misunderstandings during the design phase.

Beyond standard personas, field immersions capture real usage patterns and operational constraints. The goal is not merely to collect data but to interpret subtle cues that will guide the rest of the project. This is where the relevance of the proposed digital solution is determined.

Thanks to this structured empathy, cognitive biases are minimized, allowing focus on genuine issues. The outputs of this phase are synthesized into empathy maps and user journeys, which serve as the guiding thread for all subsequent stages.

Problem Definition and Framing

After exploration, the challenge is to reformulate the problem in a precise, shared manner. The main “pain point” to be addressed is identified and measurable objectives are set. This formalization prevents scope creep and ensures clear alignment among IT teams, product management, and business units.

A structured problem definition is achieved through convergence workshops where each stakeholder validates scope and success criteria. Hypotheses are explicitly listed to steer future iterations and anticipate risks.

This stage transforms a general observation into a concrete, operational, and measurable challenge. It lays the groundwork for ideation and reduces the risk of delivering unnecessary or poorly suited features.

Ideation and Controlled Divergence

Next comes the ideation phase, where a wide range of ideas is generated without self-censorship. Sessions are paced with various techniques—from brainwriting to mind mapping—to stimulate collective creativity. The objective is to maximize the diversity of proposals.

To avoid dispersion, time and thematic constraints are imposed. Each idea is then evaluated based on technical feasibility, user value, and business impact. This prioritization matrix serves as a compass for selecting the most promising concepts.

The chosen ideas are sketched out in storyboards or low-fidelity wireframes. This mapping enables quick visualization of the future user journey and sets the stage for prototyping.

Example: A Swiss financial institution seeking to improve SME client onboarding identified a major pain point in manual data entry. Through a series of empathy and ideation workshops, it defined a new digital journey that included automatic document capture and real-time verification. This process reduced account opening time by 70% during the pilot.

Integrating Design Thinking into the Digital Strategy Process

Design Thinking structures the product journey from ideation to production, fostering interdisciplinary collaboration. It fits within an agile, modular framework to accelerate innovation cycles.

Interdisciplinary Collaborative Work

In a digital transformation context, breaking down silos between design, IT, and business is essential. Design Thinking workshops bring these profiles together to ensure every viewpoint is considered, creating a true culture of co-creation.

Roles are clearly defined: a facilitator guides the sessions, a business expert provides process knowledge, and a product owner ensures alignment with business objectives. This setup balances creativity with rigor.

This way of working boosts team buy-in, as everyone feels invested in the project. Decisions are made with full awareness, reducing resistance to change and smoothing technical implementation.

Fast Iterations and Prototyping

A key advantage of Design Thinking is rapid prototyping. Low-fidelity mockups or proofs of concept are built with open source tools to test hypotheses. This velocity quickly reveals potential blockers.

Each iteration incorporates early user feedback. Adjustments are made in days without heavy development commitments. This minimizes resource waste and optimizes time-to-market.

The methodology is ideally complemented by CI/CD pipelines, ensuring continuous integration of validated prototypes. This approach reduces development costs and paves the way for scaling up to an industrial version.

Validation and User Testing

Before any large-scale deployment, testing sessions are held with a representative panel of users. Interactive prototypes are evaluated based on usability and ergonomics criteria.

Functional or ergonomic pain points are addressed at this stage, using both qualitative and quantitative metrics. Feedback is recorded in a prioritized backlog to guide subsequent development.

This approach guarantees the final solution meets real needs and minimizes post-launch rework, avoiding extra costs and loss of trust.

Example: A Swiss pharmaceutical lab adopted this approach to redesign its internal training portal. Prototype iterations tested with employees and quality managers refined the interface and reduced IT support queries by 50% during the national rollout.

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Concrete Benefits of Design Thinking Workshops for IT, Product, and Business Leaders

A well-structured Design Thinking workshop significantly reduces project risks and accelerates time-to-market. It also boosts stakeholder engagement and prioritizes high-ROI features.

Project Risk Reduction and Stakeholder Alignment

By involving all key actors from the start, a shared vision of scope and objectives is created. Hypotheses are validated before any development, reducing the risk of scope creep and costly rework.

This clarity strengthens governance, as decisions are documented and backed by user data. Trade-offs become quicker and more transparent for steering committees.

Over time, this discipline lowers the failure rate of digital projects and improves adaptability to changing contexts or strategies.

Accelerated Time-to-Market

Rapid prototyping and short cycles facilitate early production releases. Workshop-validated features can be industrialized in parallel thanks to a modular architecture and continuous integration pipelines.

This flexibility enables launching an MVP in weeks, gathering real feedback, and adjusting the product roadmap. Companies thus gain weeks or even months on the initial schedule.

This agility is a decisive competitive advantage in fast-evolving markets.

End-User Engagement and Adoption

Including future users in workshops fosters co-creation. They feel heard and see their needs addressed. This generates buy-in and eases adoption of digital solutions.

Training materials and documentation can be developed from initial user feedback, reducing post-launch support needs and improving the onboarding experience.

In the long run, the company gains a base of ambassador users ready to promote the solution internally and externally.

Example: A Romandy-based real estate company used Design Thinking to revamp its online client portal. Agile management and user testing increased digital account activation by 30% while cutting customer service calls for interface assistance by 40%.

Informed Technology Choices and Robust Software Architecture through Design Thinking

Design Thinking guides technology choices toward modular, open source, and hybrid solutions to avoid vendor lock-in. It also steers the definition of a scalable, secure architecture.

Modular and Scalable Architecture

Mapping user journeys and features identifies critical domains to isolate into microservices. This granularity simplifies maintenance, scalability, and independent evolution of each component.

Such architecture limits the impact of incidents and streamlines version upgrades. It relies on containers and orchestrators to ensure optimal resilience and flexibility.

By adopting this modularity from ideation onward, future needs are anticipated, building a digital foundation that can evolve without a complete overhaul.

Selection of Suitable Open Source Components

Design Thinking can also include technology evaluation during ideation. Mature open source solutions with strong communities and regular updates are favored.

This approach reduces dependency on a single vendor and offers customization freedom. Libraries are chosen based on business alignment and technical compatibility.

Processes for monitoring and automated updates are implemented to ensure long-term sustainability and security of the stack.

Hybridization and Avoiding Vendor Lock-In

To meet specific constraints, existing components can be combined with from-scratch development. This hybrid approach retains the agility of off-the-shelf solutions while ensuring precise customization.

Interfaces are standardized via open APIs, making future component replacement seamless. The ecosystem remains flexible, modular, and adaptable to strategic shifts.

Clear governance over contracts, licenses, and data exchange completes this approach to control total cost of ownership and mitigate lock-in risks.

Example: A Swiss retail group re-architected its e-commerce platform through a Design Thinking approach, decoupling the product catalog, promotions engine, and payment system. This open source–based modularity enabled 200% load growth during promotional peaks without major incidents.

Design Thinking: Make It the Accelerator of Your Digital Innovation

Design Thinking provides a robust framework to ideate, prototype, and industrialize user-centered digital solutions while integrating technological and business challenges from the start. It strengthens collaboration, accelerates innovation cycles, and reduces project risk through early validation.

This method also guides architectural and technology decisions toward modular, open source, and hybrid ecosystems, ensuring solution scalability and resilience. IT, product, and business leaders thus benefit from optimal alignment and shortened time-to-market.

CIOs, CTOs, CEOs, and product managers looking to transform ideas into high-performance digital projects will find in this approach a powerful lever to maximize ROI and anticipate future developments.

At Edana, our experts are available to support you in setting up tailored Design Thinking workshops and structuring your digital innovation process.

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In an ecosystem where every design decision impacts the success of a digital product, distinguishing product design from UX design is essential for structuring a project and optimizing resources. These two disciplines, often conflated, have complementary goals: one focuses on product strategy and alignment with business objectives, the other on user experience and ergonomics. By clarifying their responsibilities and establishing clear collaboration processes, companies reduce the risk of misunderstandings and accelerate time-to-market.

Clarifying Roles: From Business Needs to User Experience

Product design defines the overall vision, positioning, and priorities of the product. UX design focuses on interactions, ergonomics, and end-user satisfaction.

Product Design: Vision and Prioritization

The product designer initiates strategic thinking by identifying market opportunities and aligning the roadmap with business objectives. Based on market research and competitive analysis, they structure features into successive phases, prioritizing those with the highest ROI impact. This approach relies on clear metrics (development cost, value delivered, technical risks).

At the core of their role, the product designer also defines the product’s positioning, unique value proposition, and target customer segments. They formalize personas and usage scenarios to guide functional decisions and prevent scope creep during development. This structuring avoids late-stage trade-offs and ensures alignment with the company’s strategy.

UX Design: User-Centered Research and Prototypes

The UX designer, for their part, adopts a user-centered approach from the initial scoping workshops. They conduct interviews, user tests, and co-creation workshops to understand needs, frustrations, and behaviors. These insights inform the creation of wireframes, user journeys, and interactive prototypes.

Each prototype is evaluated through usability testing, enabling rapid identification of friction points and interface adjustments before any heavy development. By conducting multiple short iterations, the UX designer ensures fine-tuned adaptation to real expectations and avoids producing irrelevant or misunderstood features.

Governance and Cross-Disciplinary Collaboration

To ensure seamless collaboration, product and UX designers co-create the specifications: the product designer contributes the functional vision, the UX designer the user perspective. Joint reviews and shared milestones validate both business value and interaction quality.

An agile governance, where both profiles participate in the same rituals (sprint planning, sprint reviews, retrospectives), fosters continuous exchange. Decisions are then made through a dual lens, ensuring both strategic coherence and ergonomic efficiency.

Concrete Example of Separation Between Product Designer and UX Designer

A Swiss industrial company approached us to launch a B2B spare parts ordering platform. Our product designer developed a value proposition canvas prioritizing order speed and stock transparency, while the UX designer conducted workshops with field operators to create a simplified three-step navigation flow. This coordinated approach reduced average order processing time by 30% even at the MVP stage.

Complementarity: From Ideation to Product Validation

When product design and UX design work in concert, the digital platform ensures both business relevance and user adoption. Their cross-disciplinary methodologies accelerate hypothesis validation and optimize investments.

From Product Research to User Testing

The product designer formalizes value hypotheses to test: revenue impact, adoption by key segments, potential for upmarket growth. Each hypothesis is turned into proto-hypotheses to be validated by the UX designer through qualitative and quantitative studies.

User testing (A/B testing, moderated tests, heatmaps) provides objective data to adjust the roadmap. It enables quickly discarding low-efficiency features and reinvesting in higher-value levers.

Iterative Prototyping and Continuous Feedback

A low-fidelity prototype sketches the information architecture, while a high-fidelity prototype refines visual design and micro-interactions. At each iteration, user feedback is integrated into the backlog, feeding product prioritization.

This iterative loop reduces the risk of overdevelopment and encourages the market release of progressive versions, validated at each step by a representative panel.

KPI Alignment and Usage Monitoring

To monitor impact, product and UX designers jointly define key indicators (task completion rate, Net Promoter Score, generated revenue). Analytics and session replay tools provide continuous field feedback.

Usage data guides trade-offs, ensuring the product’s evolution is performance-driven while keeping user satisfaction at the core of decisions.

Concrete Example of Complementarity Between UX Design and Product Design

A Swiss financial services group adopted this approach for its mobile portfolio management app. Product and UX designers conducted moderated session tests, revealing that 40% of testers stalled at the strong authentication step. Thanks to these insights, the team pivoted to a more elegant biometric solution and increased the service activation rate by 25%.

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Adapting Profiles to the Digital Project Lifecycle

At the MVP stage, flexibility is key: favor a product designer who can quickly validate hypotheses and a UX designer focused on lean research. During the scale phase, reinforce teams to structure growth and ensure a consistent experience across all channels.

MVP: Agility and Rapid Validation

When launching an MVP, the goal is to test key hypotheses with a minimal set of features. The product designer focuses on defining these essential features and developing a batch-based roadmap, while the UX designer conducts rapid tests (guerilla testing, paper prototyping) to validate intuitiveness.

This lean setup allows for feedback gathering within weeks and iteration without burdening the structure. Decisions are based on tangible results rather than speculation.

Scale: Structuring and Standardization

Once the MVP is validated, the challenge is to prepare for scale and ensure cross-channel consistency. The product designer broadens the product vision, refines the roadmap, and introduces governance processes (feature reviews, scoring-based prioritization). The UX designer documents UI/UX guidelines and establishes a modular component library to standardize interfaces.

Integrating design systems enhances development speed and facilitates continuous evolution while adhering to a unified visual and interaction language.

Redesign: Expertise and Controlled Transition

In a redesign, the goal is to modernize an existing solution while preserving the user base. The product designer conducts a functional audit and defines a roadmap to migrate critical features without service disruption. The UX designer maps aging journeys, identifies breakpoints, and proposes new interaction patterns.

This phased approach, supported by coordinated iterations, ensures a smooth transition and minimizes impact on satisfaction and adoption.

Aligning Product and UX Design in a Digital Agency

An experienced agency organizes its teams to provide cross-functional product leadership, from defining features to validating with users. It combines agile methodologies, open-source solutions, and a modular ecosystem to ensure performance and scalability.

Overall Scoping and Technical-Functional Roadmap

At kickoff, the agency facilitates multidisciplinary workshops where product and UX designers work with business stakeholders to formalize the vision, objectives, and project milestones. Deliverables include a prioritized backlog and a concrete action plan, aligned with business imperatives and technical constraints.

This initial scoping can be built around open-source blocks and modular microservices to minimize vendor lock-in and ensure the application’s long-term scalability and flexibility.

Prototyping, Testing, and Rapid Iterations

The agency develops interactive prototypes that integrate reusable components, then coordinates testing sessions with representative users. Each finding is documented and prioritized with the product designer to adjust the roadmap.

This iterative approach, based on concrete feedback, limits development waste and ensures functional relevance before significant cost commitments.

Scaling Up and Continuous Monitoring

During deployment, the agency structures an evolving support system: test automation, UX and business KPI monitoring, incremental updates. Product and UX designers remain involved to manage releases and ensure experience consistency as new features are added.

The modularity of the architecture and use of open-source stacks (light front-end, asynchronous APIs, containers) ensure controlled scaling and prevent future bottlenecks.

Concrete Example

An emerging Swiss services company entrusted us with a complete redesign of its B2C platform. The plan was divided into three phases: scoping, A/B-tested prototype validation, and deployment with an Angular-based design system. The iterative cycle allowed for monthly user feedback integration, reducing churn by 18% in six months while adhering to the initial schedule.

Build a High-Performing, Aligned Digital Product

By clearly distinguishing product design and UX design and orchestrating them collaboratively, you maximize business impact and user adoption. The project’s maturity levels—MVP, scale, redesign—dictate the design team’s composition and intensity, while a modular, open-source approach ensures scalability and longevity.

Whatever your context, our Edana experts are ready to support you in designing a digital solution that combines strategy, experience, and technological robustness.

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Despite decades of guidelines and standards, a significant portion of the web remains difficult to access for people with disabilities. Artificial intelligence is reshaping the landscape by automating content analysis and correction, personalizing the user experience, and paving the way for multisensory interactions. IT directors, project managers, or CIOs: it’s time to integrate AI into your accessibility strategy to meet legal requirements, societal expectations, and the needs of an aging population, all while delivering an optimized experience for every user.

Why Digital Accessibility Has Become Strategic Today

Regulations are evolving rapidly while societal expectations intensify. At the same time, aging populations and the proliferation of mobile usage place accessibility at the heart of business challenges.

Strengthening Legal Obligations (EU, Switzerland, US)

Since the adoption of European Directive 2016/2102, public websites and apps must comply with WCAG 2.1 standards. This legislation mandates color contrasts, textual alternatives, and fully functional keyboard navigation. In Switzerland, the Federal Act on the Elimination of Discrimination against Persons with Disabilities (LHand) and its ordinance specify similar requirements for digital services of administrations and companies subject to public procurement.

In the United States, the Americans with Disabilities Act (ADA) is increasingly invoked to sue organizations whose digital interfaces are not accessible. Class actions are on the rise, with fines and remediation costs reaching into the hundreds of thousands of francs.

This regulatory tightening is most visible in the financial sector and public services, where controls and sanctions are systematic. Companies failing to comply not only risk penalties but also damage to their reputation.

Growing Social Pressure and Collective Actions

Social media amplify the voices of people with disabilities, turning an accessibility incident into an immediate viral backlash. A malfunctioning voice-command interface can quickly become the focus of online petitions and criticism.

At the same time, associations and digital rights collectives conduct investigations and file group complaints. In Europe, several major organizations have already been forced to overhaul their portals under threat of administrative blockages.

This social pressure also translates into tenders that now include accessibility as a selection criterion. Early adopters gain visibility and trust among partners and clients.

Aging Population and Widespread Mobile Usage

Switzerland has over 18% of seniors aged 65 and above, a figure set to grow in the coming years. Visual, auditory, or motor impairments therefore become strategic issues for capturing this clientele.

Moreover, usage is increasingly mobile: smaller interfaces, touch gestures, and varied contexts of use (lighting, movement). Temporary impairments—broken screens, occupied hands, noisy environments—affect a growing number of users every day.

In this context, a major Swiss retailer tested a dynamic enlargement tool for click zones on its mobile site. Thanks to AI algorithms, interactive areas adjust in real time to how the user holds their phone, reducing input errors by 35% among those over 60.

What AI Can Concretely Transform in Accessibility

AI opens new horizons: automation, personalization, and real-time adaptation. From generating captions to creating multisensory experiences, AI expands the scope of inclusion efforts.

Automatic Generation of Captions, Summaries, and Image Descriptions

Speech recognition and natural language processing solutions transcribe video dialogue instantly, producing synchronized captions. An AI algorithm can also automatically summarize long content, easing reading for people with dyslexia or visual impairments.

Image descriptions, long created manually, can now be generated by computer vision. Each image or illustration receives a detailed alt text, ensuring equivalent comprehension for screen reader users.

For a Swiss e-learning institution, this mechanism reduced the time spent on creating accessible content by 80%. Video courses now come with instant captions and summaries, boosting satisfaction for all learners.

Real-Time Translation and Adaptation (Audio, Visual, Text)

AI-based machine translation services now deliver subtitles comparable to a professional’s. Content can be adapted into over 100 languages, with style and phrasing tailored to technical or marketing contexts.

In audio interfaces, a voice assistant can rephrase responses for hard-of-hearing users, adding on-screen text or offering haptic feedback. This multimodality enriches the experience.

In multilingual settings—trade shows, international training, global platforms—these tools ensure consistent accessibility without additional localization costs.

Automated Website Audits

Intelligent crawlers continuously scan web pages to detect WCAG or RGAA violations. They generate detailed reports, prioritized by business impact and technical severity.

Paired with interactive dashboards, these audits enable progress tracking, fix planning, and ROI quantification for accessibility actions.

A Swiss industrial multinational implemented a daily automated audit. Detected anomalies feed directly into its ITSM tool, ensuring traceability and faster response.

Adaptive Interfaces for Temporary or Situational Impairments

Machine learning allows interfaces to detect noisy environments and automatically offer text transcriptions of audio notifications.

If ambient light is low, AI adjusts contrast and font size in real time to preserve visual comfort.

These contextual adaptations improve the experience for all users without manual configuration overload.

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Limits Not to Ignore: Why AI Alone Is Not Enough for Optimal Accessibility

AI delivers considerable gains, but it cannot replace a comprehensive accessibility approach. Manual testing, quality data, and inclusive design remain indispensable pillars.

Manual Testing Remains Indispensable

Algorithms can miss nuances, such as coherence in descriptive language. User testing, by contrast, exposes the frustrations experienced by people with disabilities.

Validations with screen readers and assistive devices must be conducted regularly, especially during major redesigns or updates.

A Swiss financial institution maintained a panel of employees with disabilities to test every major portal version. These human insights corrected 12% of issues undetected by automated tools.

By combining AI with field feedback, organizations achieve a level of excellence unattainable by either approach alone.

The Quality of Training Data Is Crucial

Computer vision models are only as good as the annotated images that train them. A biased or insufficient dataset leads to inaccurate or discriminatory descriptions.

Algorithms must be fed representative data covering all profiles and use cases, ensuring diversity of genders, ages, and disability types.

Data governance—collection, anonymization, updates—must be rigorous to guarantee results that are reliable and GDPR-compliant.

Without quality data, AI can hinder rather than accelerate, generating costly errors that require manual correction.

Need for Accessible Design from the UX/UI Phase

Before integrating AI, information architecture and user journeys must be crafted to minimize entry barriers.

Structuring HTML code, providing semantic landmarks, and adopting accessible components (ARIA buttons, visual cues) ensure a solid foundation.

AI tools will enrich this base but cannot compensate for interfaces built without these principles.

A Swiss public services agency tested several AI widgets before realizing that unclear navigation elements limited adoption. A prior UX redesign tripled the effectiveness of the assistive tools.

Adopting a Contextual and Scalable Approach for AI-Centered Accessibility

Each accessibility project must be based on a tailored, modular, and secure strategy. Open source, hybrid modules, and scalable architecture ensure sustainable inclusion.

Favor Open Source Solutions and Avoid Vendor Lock-In

Open source libraries offer full flexibility and an active community to quickly address vulnerabilities.

By controlling code and dependencies, organizations ensure the longevity and security of accessibility tools without being subject to a single vendor’s roadmap.

This approach aligns with Edana’s culture, where each component is chosen for its ecosystem and ability to evolve without blockage.

Integrate Accessibility from the Digital Product Design Phase

Ideation and prototyping workshops should involve designers, accessibility experts, and AI developers to define native accessible components.

Technical and usability feasibility tests occur before development to avoid costly retrofits.

A Swiss logistics services company co-created its interfaces with a diverse user panel, guaranteeing WCAG compliance and easing later AI tool integration.

Implement Continuous Auditing and Monitoring

Beyond an initial audit, an automated monitoring system must continually check for accessibility regressions.

AI-generated reports feed a backlog that prioritizes fixes by business impact and technical criticality.

This process ensures iterative improvement and prevents compliance drift as features evolve.

Train Teams and Establish Agile Governance

Developers and project managers must understand accessibility challenges and master associated AI tools.

Regular training and inclusive code reviews maintain a high, shared skill level.

Agile governance, with sprints dedicated to accessibility topics, ensures transparent management and continuous value delivery.

Make Accessibility a Lever of Competitiveness

By combining regulatory compliance, AI’s potential, sound design practices, and agile governance, you create an inclusive and differentiating digital experience. When fueled by quality data and supported by human testing, artificial intelligence becomes a powerful accelerator of inclusion.

In a market where compliance is a prerequisite and user experience a key success factor, integrating accessibility from the outset and enhancing it with advanced technologies is a strategic choice. Our experts are here to help you define the most suitable solution for your context, prioritizing scalability, security, and open source.

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Drafting a comprehensive specification document is often regarded as the cornerstone of any digital project. Yet this bulky document can sometimes create gaps between actual needs and initial specifications, weigh down decision-making processes, and slow your teams’ responsiveness. For decision-makers seeking a SaaS solution, a mobile app, business software, or a digital platform, the challenge is to balance agility with discipline. This guide proposes moving beyond the myth of the specification document as a mandatory step by prioritizing collaboration, rapid concept visualization (design-first), and strategic prioritization. With this approach, you quickly define a relevant MVP, focus your resources on delivering real value, and significantly reduce your time-to-market. We illustrate each point with concrete examples from Swiss companies to inspire your strategy.

The Limitations of the Traditional Specification Document

The specification document can sometimes become a too-rigid foundation, incapable of evolving in response to field discoveries. Its creation mobilizes significant resources before the first prototypes even exist, risking an unnecessary extension of your time-to-market.

Rigid Specifications

The specification document sets an exhaustive framework from the outset, detailing every feature, user scenario, and technical constraint. But this approach doesn’t always incorporate insights from early feedback or user testing.

When new requirements emerge, integrating them demands formal revisions, approval cycles, and extra meetings. Each change becomes a project in itself.

Ultimately, this approach can leave the project trapped in dated specification lists, ignoring evolving business needs or market opportunities.

Approval Delays and Time-to-Market

Drafting and approving the specification document often involves multiple countries and departments, generating back-and-forth exchanges and unexpected delays. Scoping meetings pile up, slowing decision-making.

The delays accumulated before development even begins directly impact time-to-market, reducing the company’s ability to seize early opportunities.

This can trigger a domino effect, where a delayed launch of an application or digital platform benefits your more agile competitors.

Lack of Stakeholder Buy-In

Engaging end users, marketing teams, or operations too late in a fixed document reduces their commitment. Stakeholders may perceive the specification as imposed, without real consideration for their specific needs.

Without collective ownership, stakeholders may not engage in testing or validation phases, resulting in late feedback and costly revisions at the end of the project.

For example, a mid-sized Swiss watchmaker spent over three months finalizing its customer platform specification. During the acceptance phase, internal teams flagged major gaps, necessitating two redefinition cycles. The project was pushed back six months, impacting the marketing schedule and user satisfaction.

Risks of a Specification Document: When Formalism Stifles Innovation

The need to comply with a strict specification can suffocate creativity and risk-taking. Obsessing over initial details often disconnects the project from the market’s actual and fluid needs.

Blocking Emerging Ideas

The specification document defines features before any user exploration or design sprint has even been conducted. This rigid anticipation limits the emergence of innovative ideas discovered during product discovery.

When new concepts appear, they’re often deemed out of scope, requiring amendments or budget renegotiations. Teams become reluctant to propose alternative approaches.

As a result, the project stalls on preconceived solutions, missing out on collective intelligence and on-the-ground feedback.

Disconnect from Real User Needs

A static document cannot capture the dynamic evolution of user needs or emerging usage patterns. The personas and use cases initially described quickly become obsolete.

Without regular feedback, development rests on assumptions, increasing the risk of delivering non-priority or poorly adopted features.

This disconnect often leads to low adoption rates and business teams feeling alienated from technological decisions.

Hidden Cost of Rigorous Compliance

Ensuring compliance with the specification document requires tools and monitoring processes (committees, reports, acceptance tests). These resources can account for up to 20% of a digital project’s total budget.

Teams spend more time in meetings and reporting than on development and innovation. Cushions to satisfy every line of the document drag down velocity.

A Swiss financial institution preparing an internal portal found that 18% of its project budget was consumed by validation committees and change management. This overrun delayed the launch and increased the TCO.

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Collaboration and Design-First: An Alternative Approach

Co-design and design-first workshops align business needs and technical solutions. Rapid prototyping enables continuous experimentation, validation, and refinement before any large-scale development.

UX and Design Thinking Workshops

Workshops bring business teams, IT, and end users together around a whiteboard. This rapid pooling of ideas fosters mutual understanding and identification of real priorities.

In just a few hours, teams generate empirical user journeys, test hypotheses, and refine functional requirements before formalizing anything in writing.

This collective engagement builds co-ownership and ensures better buy-in during later development phases.

Rapid Prototyping to Validate Concepts

A clickable prototype or interactive wireframe lets you envision the final product without writing a single line of code. Feedback is immediate and easy to integrate.

Adjustments happen in real time, drastically reducing revision cycles compared to textual specification feedback.

In practice, teams quickly identify misunderstood flows, secondary features, and friction points before any heavy budget commitment.

Iterative Feedback and Continuous Refinement

Based on the prototype, sprints follow with frequent demos to stakeholders. Each iteration progressively enriches the truly useful scope.

This Lean product approach ensures the project stays connected to business objectives and field realities, avoiding variances from initial assumptions.

A Swiss pharmaceutical company used this approach to overhaul its internal training portal. In three successive workshops, it invalidated two secondary features and focused development on an interactive reporting module, cutting the backlog by 40% by the MVP stage.

Strategic Prioritization and Launching an Agile MVP

Defining an MVP (Minimum Viable Product) focuses efforts on the most critical business value. A lightweight governance model ensures agile management, ROI orientation, and continuous adaptation.

Product Discovery and Lean Roadmap

The product discovery phase merges user insights, market data, and technical constraints to rank features. Prioritization workshops (MoSCoW, Kano) guide decisions.

A Lean roadmap is built, segmented into short releases aligned with business strategy, avoiding exhaustive specification gathering.

This balance of long-term vision and quick iterations supports agility while ensuring overall project coherence.

Defining a Value-Driven MVP

The MVP concentrates development on features essential to validate key hypotheses: user acquisition, engagement, and retention.

This approach mitigates financial and technical risk by testing the product’s relevance early on a limited segment.

A retail chain launched its mobile app as an MVP in three months. It validated the basic ordering flow before investing in the advanced payment module, optimizing resources and limiting initial investment.

Agile Management and Lightweight Governance

The project is tracked via a single product backlog, fueled by prioritized user stories reviewed each sprint. Performance indicators (KPIs, OKRs) measure the real impact of new features.

Lightweight governance relies on short rituals (stand-up, sprint review, retrospective) and transparent communication between IT, business teams, and vendors. This replaces the multi-monthly committees of the classic specification approach.

Adjustments are made continuously, allowing course corrections at the first sign of deviation, without waiting for the end of a traditional specification phase.

Launch Your Digital Project by Unleashing Innovation

The specification document remains useful for aligning stakeholders on an initial vision, but its formality must not hinder creativity or responsiveness. By combining co-design workshops, rapid prototyping, and a value-focused MVP, you optimize development cycles, reduce risks, and engage your teams from the first deliverables.

Whether you’re steering a process transformation, launching a SaaS, a business tool, or creating a mobile app, our Edana experts will support you in adapting this agile, context-driven approach to your business challenges. They’ll help you harness collective intelligence and deploy a scalable, secure solution perfectly aligned with your strategy.

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In a context where portals, applications and platforms are multiplying their features, visual and functional consistency becomes a major challenge for IT and business departments. A structured Design System is much more than a simple collection of graphical components: it establishes shared governance, promotes controlled evolution and secures the user experience across all digital products. Adopting this approach from the design phase ensures controlled scalability and greater responsiveness to business needs. This article details the fundamentals, implementation and strategic benefits of a product-oriented Design System, to transform this technical foundation into a performance lever.

The Design System, More Than Just a Component Library

The Design System is above all a digital governance framework that promotes consistency and reuse. It defines rules, principles and processes that ensure visual and functional unity across all products.

What Is a Design System?

The Design System brings together a set of UI components, styles (typography, color palette) and usage guidelines documented in a centralized manner. It serves as the single source of truth for all teams involved in creating and evolving digital interfaces.

This system also incorporates accessibility guidelines, responsive design and ergonomics, ensuring a consistent user journey regardless of the channel or device used. It helps limit graphical and functional deviations throughout development.

Its adoption accelerates time-to-market by avoiding redundant decision-making with each new feature. By standardizing patterns, it provides a trusted foundation for delivering reliable products quickly.

Components and Strategic Roles of the Design System

Beyond visual components, the Design System includes tokens (colors, spacing, typography) and systemic design principles that guide the creation of new modules. Each token is versioned to manage evolutions without breaking existing implementations.

It serves as a digital governance tool, centralizing decisions and best practices. UX/UI charters and technical guidelines are structured around a shared repository, ensuring smooth iterations between design and development.

With comprehensive documentation and validation processes, the Design System stabilizes the digital ecosystem. Responsibilities are clarified: a steering committee approves changes, while business teams focus on functional value.

Governance and Scalability

A sustainable Design System relies on agile governance. Roles are distributed among designers, developers and business stakeholders, each bringing their expertise to enrich the repository.

Updates follow a planned cycle: recommendations and component evolutions are reviewed and tested in isolated environments before production deployment. This rigor minimizes the risk of incompatibility.

The modularity of the Design System ensures controlled scalability. New projects can gradually integrate existing components and tokens while retaining the freedom to add business-specific features without compromising overall consistency.

Concrete Example of a Design System

A mid-sized Swiss banking institution consolidated its customer portal by creating an internal open source Design System. The team structured color tokens around the internal ESG charter, defined standard components for forms and introduced a CI/CD pipeline to publish each version. The result: a 40% reduction in graphic design time and a consistent experience despite the proliferation of modules (account management, credit simulation, customer support).

The Design System: a Lever for Consistency and Scalability in Digital Ecosystems

Implementing a Design System ensures a uniform experience across all digital touchpoints. It provides a modular architecture capable of scaling without adding complexity.

Ensuring Cross-Product Consistency

In a multi-product context, visual and functional consistency builds user trust and simplifies onboarding. Navigation, form and notification patterns are standardized, reducing cognitive load.

Each team accesses a centralized library, avoiding duplication and reducing the risk of inconsistencies. Charter updates propagate automatically via versioning and delivery automation.

This also simplifies onboarding new team members: the single repository serves as the reference documentation for understanding the UI ecosystem and its usage rules, accelerating their learning curve.

Technical and Organizational Scalability

Design System components are packaged as reusable modules within a package manager (npm, NuGet, Maven). Each module contains associated styles, scripts and tests, ensuring effortless integration.

Updates are managed through an explicit dependency mechanism: projects consume only validated and secure versions, avoiding unexpected fluctuations. Continuous integration runs regression tests on each component.

On the organizational side, governance is tailored to needs: a multidisciplinary committee oversees evolutions, while product squads can propose new patterns validated by the central repository.

Guided Evolutions and Secure by Design

An internal open source approach promotes transparency of contributions and traceability of changes. Pull requests undergo cross-review, involving designers, engineers and security architects.

Guidelines include security rules (focus management, constraints on third-party dependencies, WCAG accessibility) to ensure optimal coverage from the design phase.

Modularity facilitates the removal or rapid update of any component in case of a detected vulnerability, minimizing the impact on the overall ecosystem.

Concrete Example of a Design System Delivering Consistency

An industrial manufacturer in the Lake Geneva region consolidated three intranet solutions into a single portal. The Design System enabled merging UI libraries, streamlining components and deploying a common framework based on React and Storybook. The industrialization of updates reduced security patch integration time by 60% and ensured visual consistency between production monitoring, maintenance and reporting modules.

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Facilitating Cross-Functional Collaboration and Optimizing Productivity

A structured Design System serves as a common language between UX/UI designers, developers, Product Owners and business teams. This shared foundation streamlines communication and accelerates feature delivery.

Aligning Teams Around the Product

The Design System serves as a reference for defining user stories and acceptance tests, as well as designing the user story map. Each new feature relies on proven components, reducing areas of uncertainty.

Co-design workshops use the repository as a starting point, enabling rapid prototyping and validation of choices before development.

The backlog now includes tickets dedicated to enriching or revising the Design System, ensuring continuous governance and ongoing improvement of the common foundation.

Reducing Back-and-Forth and Ambiguity with a Clear, Reliable Design System

With a dynamic, interactive style guide, developers access specifications (dimensions, behaviors, states) directly without repeated exchanges with designers.

Brief changes are tracked in the documentation, ensuring transparency on the history of decisions and avoiding misunderstandings.

Design System versioning and release note management provide clear visibility on new features and fixes.

Accelerated Onboarding and Skill Development

By standardizing the component repository, every newcomer immediately finds all patterns and best practices. A dedicated starter guide illustrates the most common usage scenarios.

Internal workshops and pair designing sessions rely on the Storybook environment, where use cases are showcased. Technical and UX skills spread quickly.

This rapid adoption increases team productivity and reduces dependence on experts, freeing up time for functional innovation.

Concrete Example of a Design System Improving Internal Collaboration

An e-commerce platform for a Swiss retailer integrated a Design System from the redesign phase. Sprints systematically included component refresh and documentation tasks. Collaboration via the Storybook environment reduced UI-related QA feedback by 50% and enabled continuous deployment with fewer visual incidents in production.

Cost Reduction and Sustainable Adoption Thanks to a Solid Product Vision

Applying the Design System with a product mindset ensures sustainable governance and long-term ROI. Evolutionary maintenance becomes predictable and economically controlled.

Maintenance Cost Control

Centralizing components reduces the number of ad hoc developments and undocumented extensions. Bug fixes and updates propagate automatically to all projects consuming the repository.

Systematic reuse minimizes resources devoted to creating new modules, and partial refactoring efforts are limited to token adjustments rather than complete rewrites.

IT budgets stabilize, operating costs become more predictable and teams can anticipate evolutions without surprises.

Onboarding and Continuous Training

A starter kit guides Product Owners and project managers in integrating the Design System into any new build. CI/CD workflows include automatic validations for guideline compliance.

Targeted training and living documentation promote a gradual skill upgrade for teams, limiting external needs and ensuring repository sustainability.

Each iteration includes a Design System review phase, ensuring alignment with business objectives and product portfolio evolution.

Implementation with a Product Vision

Instead of treating the Design System as a mere project deliverable, it becomes a product in its own right, driven by a dedicated roadmap. KPIs (reuse rate, development time, compliance rate) are tracked to measure generated value.

Product ownership is entrusted to a cross-functional group responsible for prioritizing evolutions, organizing user tests, and validating component performance in real-world conditions.

The product approach ensures continuous improvement, increased maturity and adaptation of the Design System to emerging challenges (internationalization, theming, enhanced accessibility).

Concrete Example

A Swiss insurance group launched a product vision dedicated to its Design System. A Product Manager was appointed, with an annual budget allocated to component innovation. Each quarter, IT and design teams publish releases, document evolutions and measure the impact on time-to-production. Maintenance costs decreased by 30% in one year, while internal satisfaction rates exceeded 85%.

Make the Design System a Pillar of Your Digital Transformation

The Design System proves to be a strategic lever for consistency, scalability and productivity across any digital ecosystem. It ensures shared governance, significantly reduces maintenance costs and accelerates the integration of new features. By adopting a product approach, this evolving repository becomes a genuine long-term business asset.

Whether it’s an internal portal, a customer platform or a network of applications, its structured implementation secures future evolutions while freeing up time for innovation.

At Edana, our experts support organizations in the design, governance and deployment of powerful Design Systems tailored to each business context. Get in touch with them now to discuss your objectives and needs and co-create adapted, sustainable solutions.

Discuss your challenges with an Edana expert

The digital transformation demands rigorous coordination and a clear product vision to deliver high-performing digital solutions. Identifying the right profile – a digital/IT project manager or a product owner – is a strategic challenge in Switzerland, where the pace of innovation and organizational complexity continues to grow. Companies seek to combine governance, deadline control, and business alignment within technically skilled, agile teams. This guide details each role’s responsibilities, their complementarities, the benefits of hiring them, and best practices for an adapted selection process. It also addresses the dilemma between insourcing, outsourcing, or hybrid models to effectively steer digital projects.

Clarifying Responsibilities: Digital/IT Project Manager vs. Product Owner

The digital project manager coordinates all deployment activities and ensures deadlines and budgets are met. The product owner defines the product vision, prioritizes features, and acts as the interface between business stakeholders and the technical team.

Primary Responsibilities of the Digital/IT Project Manager

The digital or IT project manager is responsible for planning and delivering digital initiatives. They establish the schedule, monitor progress, and anticipate risks related to resources or technical dependencies. By defining key performance indicators, they ensure milestones are met and deliverables maintain high quality.

They orchestrate collaboration among internal teams, external vendors, and stakeholders. Leading steering committees and running progress reviews, they keep the project cohesive. Their cross-functional posture requires a deep understanding of business needs and technical constraints.

This role demands mastery of traditional methods (waterfall, formal communications) and agile approaches (Scrum, Kanban). The IT project manager must adapt their management style according to the organization’s maturity and the nature of deliverables.

Primary Responsibilities of the Product Owner

The product owner represents the business vision of the product throughout the development cycle. They manage the backlog by aligning each user story with strategic priorities and end-user expectations. Their mission begins with writing value-focused specifications and continues with daily trade-off decisions.

They serve as the business advocate to the technical team. By refining acceptance criteria and validating deliverables, they ensure the product’s functional coherence. Their involvement is continuous, from initial scoping to successive iterations.

The product owner drives the roadmap and tracks KPIs related to adoption and user satisfaction. Their expertise in design thinking and user-centricity helps create enhancements that truly meet internal and external customer needs.

Convergences and Complementarities

Both profiles share a common objective: the success of digital projects and stakeholder satisfaction. They collaborate closely to balance constraint compliance with continuous value creation. This complementarity streamlines processes and reduces project drift.

The digital project manager focuses on governance, budgets, and coordination, while the product owner hones the value proposition and functional content. Their collaboration allows simultaneous tracking of the “what” and the “how” of deliverables.

In some organizations, a single professional may combine both roles for medium-sized projects or during transition phases. This flexibility suits resource-constrained structures, provided the individual holds dual expertise.

Example: A Geneva-based business services firm entrusted a hybrid profile with managing a digital reporting platform and prioritizing new features, enabling them to meet a tight schedule while ensuring internal user satisfaction.

Why Invest in These Profiles?

Hiring a digital project manager or a product owner secures the stewardship of digital initiatives. These profiles bring methodology, strategic alignment, and agility to maximize project value.

Operational Efficiency Gains

A digital or IT project manager improves dependency management and ensures structured execution. By promptly identifying and addressing blockers, the project advances predictably. Regular status meetings and reports bolster transparency.

Conversely, the product owner minimizes wasted development by focusing efforts on high-value features. Each iteration is measured against business and user objectives. This approach reduces rework and optimizes ROI.

Their combination breaks down silos and enhances coordination between business and IT. Teams stay focused on clear objectives, which lowers tensions and delays caused by misunderstandings or shifting priorities.

Impact on Governance and Visibility

A digital or IT project manager structures decision-making bodies and defines a governance framework. Steering committees—facilitated with relevant indicators—give leaders real-time insight into project status. Risks are identified early and managed proactively.

The product owner contributes functional transparency by regularly publishing roadmaps and backlogs. Business stakeholders can follow progress, provide feedback, and adjust priorities without disrupting development flow.

This dual visibility—operational and functional—aids budget arbitration and strategic decision-making. It strengthens sponsor buy-in and builds confidence in digital investments.

Practical Case: A Swiss Watchmaker

An SME watchmaker in the canton of Vaud hired a product owner through an external provider to oversee the redesign of its online store. Simultaneously, a digital project manager handled integrations with ERP and CRM systems. Result: production launch met deadlines and conversion rate rose by 18% in the first quarter.

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Insourcing vs. Outsourcing: How to Decide

Insourcing the role ensures deep contextual knowledge and strong organizational anchoring. Outsourcing provides rapid flexibility and access to specialized expertise without permanent commitments.

Advantages of Insourcing

By insourcing the digital project manager, IT project manager, or product owner, organizations gain swift ownership of business challenges. Familiarity with internal processes and key actors boosts responsiveness to change and clarity on priorities.

An internal employee stays for the long term and can drive the roadmap beyond a single project. They foster a continuous agile culture and share best practices across teams.

Finally, insourcing creates a stable point of contact for sponsors and end users, reducing risks related to knowledge loss during turnover.

Strengths of Outsourcing

Engaging a specialized provider for the digital project manager or product owner delivers immediate upskilling. External expertise—accustomed to diverse contexts—brings proven methods and industry benchmarks.

This model cuts integration time and financial commitment linked to long-term hiring. It allows resource scaling according to project load without complex HR processes.

Outsourcing often ensures neutrality in functional and operational decisions. The provider can recommend enhancements or correct course without internal political constraints.

Hybrid and Partial Outsourcing Models

Organizations can blend internal and external resources to balance contextual knowledge and sector expertise. For example, an internal product owner may steer strategic roadmap planning while an external digital/IT project manager handles technical coordination.

A hybrid model fosters internal skill development through knowledge transfer. Best practices introduced by the provider enrich the organization and remain accessible after the mission ends.

Example: A Romandy industrial group we supported chose to pair a permanent digital project manager with an outsourced product owner for its customer portal redesign—ensuring both business continuity and operational flexibility.

This choice between insourcing, outsourcing, and a hybrid approach should be made based on each company’s context. Our experts regularly advise clients on this decision.

Running the Recruitment Process: Practical Tips

Successful hiring relies on a clear job description, precise selection criteria, and rigorous soft-skill assessment. Implementing a structured process—combining practical exercises and targeted interviews—ensures candidate alignment with business objectives.

Crafting a Clear, Comprehensive Job Description

The job description should outline responsibilities, expected deliverables, and organizational context. It should list technical skills (project management, agile methods, tracking tools) and interpersonal qualities (leadership, communication, diplomacy).

Define performance indicators for the role: deadline adherence, deliverable quality, stakeholder satisfaction. This clarity aids interview discussions and candidate comparisons.

Finally, specify reporting structure and collaboration expectations with internal or external teams to avoid misunderstandings and clarify interactions from day one.

Sourcing and Pre-Selection Methods

Sourcing can leverage specialized professional networks, digital talent platforms, or recruitment firms. Seek referrals and tap into open-source communities or meetups to find engaged candidates.

During pre-selection, a quick initial contact validates motivation, relevant experience, and cultural fit. A structured questionnaire focused on past use cases sheds light on methodologies and environments encountered.

Short technical tests or case studies can complement early discussions to assess diagnostic skills and practical action planning.

Candidate Selection and Evaluation

Interviews should include at least one practical scenario where the candidate presents an approach to scoping a project or prioritizing a backlog. This simulation reveals rigor, synthesizing skills, and stakeholder-persuasion ability.

Soft-skill assessment should cover communication, conflict management, and collaboration mindset. Behavioral questions (“describe a stakeholder conflict and how you handled it”) gauge managerial posture.

Finally, a joint interview with future colleagues or sponsors ensures mutual understanding of expectations and builds trust before the final decision.

Optimize Your Digital Governance with the Right Profiles

Clearly defining the roles and missions of the digital/IT project manager and the product owner ensures coherent governance and efficient execution of digital projects. Their complementarity enhances agility, transparency, and alignment between business strategy and technical delivery. Choosing between insourcing, outsourcing, or a hybrid model depends on priorities of contextual knowledge, flexibility, and skills transfer.

A structured recruitment process, supported by precise criteria and relevant practical exercises, maximizes the chance of finding the right candidate to drive your digital transformation. At Edana, our experts are at your disposal to discuss your challenges and offer tailored support, whether integrating these profiles internally or leveraging partial or complete outsourcing.

Talk to an Edana expert about your challenges

In a landscape where the success of digital projects relies on agile management and rigorous documentation, Jira and Confluence become indispensable allies. They provide a unified platform to drive each phase, ensure decision traceability, and centralize knowledge. By adopting a structured, repeatable approach, you guarantee alignment between business ambitions and technical deliverables while optimizing collaboration between IT and business teams.

This guide delivers a step-by-step approach to configure, set up, and use Jira for operational management and Confluence for documentation, all illustrated with real-life cases from Swiss companies. The objective: to provide you with a ready-to-use blueprint for your bespoke projects or large-scale transformations.

What Are Jira and Confluence?

Jira and Confluence are two software products developed by Atlassian. They enable project stakeholders to manage different aspects of a project. Jira handles planning and tasks, while Confluence manages centralized documentation.

Jira: Project Management Software for Efficient Task and Workflow Management

Jira is a project management tool designed to organize, plan, and track tasks within teams, particularly in agile environments (Scrum, Kanban). It offers a clear view of progress, priorities, and responsibilities, which enhances coordination and productivity.

Confluence: Centralize Documentation and Foster Collaboration

Confluence is a collaborative platform dedicated to documentation. It allows you to structure specifications, meeting notes, procedures, and decisions in a clear and accessible way. Information is centralized, facilitating knowledge sharing and project continuity.

Understanding and Deploying Jira and Confluence to Kick Off Your Project

Before you begin, prepare your project’s Jira and Confluence spaces. This step ensures a solid operational foundation and a clear documentation structure from the project’s inception.

Project Setup Preparation

Before any configuration, it is essential to define the functional scope and major project phases. This preparation involves bringing together IT and business stakeholders to validate objectives, key metrics, and technical constraints.

A kickoff meeting allows you to list expected deliverables: initial backlog, specification documents, planned sprints, and client sign-off milestones. This formalization reduces the risk of scope creep and forgotten requirements.

One of our recent financial sector clients illustrates this phase: during their core application redesign, teams held three scoping workshops in under a week to consolidate requirements, define Jira roles, and set up the necessary Confluence spaces.

Initial Configuration

Setting up Jira starts with creating a modular project based on an Agile or Kanban template, depending on the mission’s size and type. The issue hierarchy (Epic, Story, Task, Bug) is configured to reflect the desired level of granularity.

Meanwhile, Confluence is structured around project spaces, team spaces, and page templates. Access rights are assigned according to responsibilities: contributors, business approvers, external auditors.

In our financial sector example, the Jira Agile template was adapted to include a “Regulatory Review” issue type—crucial in a highly regulated industry—while Confluence hosted a dedicated folder for Swiss FINMA compliance.

Space Structuring

In Jira, each business component or functional module becomes a “component” or “team” to clearly distribute responsibilities. Custom fields capture project-specific metrics.

In Confluence, parent pages are created for the project plan, backlog, technical documentation, user guides, and feedback tracking. Jira macros dynamically display linked issues.

This synchronized structure offers a single pane of glass: clicking a Jira issue in Confluence opens its detailed view, ensuring coherence and traceability of all changes.

Orchestrating Operational Management with Jira

Once set up to manage your tasks and planning, Jira becomes the cockpit of your project to plan, execute, and measure progress.

Backlog Creation and Management

The initial backlog aggregates all user stories and technical requirements identified during scoping. Each item is written in the standard format (role, action, benefit) to ensure shared understanding.

Priorities are set based on business value and technical complexity, then organized into Epics and releases. Issues are estimated in effort points and placed into a clear workflow.

This approach allows you, for example, to quickly assign story points to critical features of your web or mobile platform, providing immediate visibility into workload and risks.

Sprint Planning and Execution

Each sprint begins with a planning meeting where the team selects the highest-priority stories and defines a sprint goal. Tasks are broken down and assigned to individual members.

During execution, the Scrum or Kanban board offers real-time visibility of issue status: To Do, In Progress, In Review, Done. Daily stand-ups rely on these columns to quickly surface blockers.

In one of our client cases, the team adopted a biweekly cadence with a 15-minute daily touchpoint, reducing delivery times by 20% as of the third sprint.

Reporting and KPI Tracking

Jira includes automated reports: burndown chart, velocity chart, release report, and time spent per issue. These metrics help adjust the roadmap and anticipate delays or overloads.

Dashboard gadgets can be shared with IT leadership for asynchronous monitoring and full transparency on progress.

One industrial manufacturer we supported used Jira KPI tracking to identify a validation bottleneck, leading to a tailored workflow that accelerated review cycles.

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Leveraging Confluence to Centralize Documentation and Foster Collaboration

Confluence organizes all specifications, feedback, and deliverables in a versioned repository. This creates a single reference point accessible at any time and clarifies business expectations around the product.

Specification Templates

Preconfigured templates cover functional, technical, UX, and performance specifications. Each model includes essential sections: objectives, scope, wireframes, and acceptance criteria.

Macros like decision tables and roadmap planners facilitate milestone tracking and trade-off management.

One client standardized a single template across all project teams, reducing specification writing time by 30% and ensuring the document consistency vital for internal audits. This demonstrates how adopting a Confluence template can boost performance.

Feedback Management and Approval

Confluence allows contextual comments on every document section. Business and technical reviewers can annotate, suggest changes, or flag risks directly on the page.

The built-in approval workflows condition document publication on sign-off by a set number of reviewers, ensuring compliance with internal standards.

In a recent engagement, we implemented a three-step review process (functional review, technical review, legal approval) for each document, complete with timestamped approval history. This greatly accelerated delivery and improved deliverable quality.

Client Portal and Collaboration

A dedicated client space can be configured in Confluence, providing controlled access to specifications, progress reports, and test plans. Client feedback is then centralized and tracked.

This approach ensures a fast, documented feedback loop, boosting trust and transparency throughout the project.

In some cases, this configuration has cut email exchanges in half and maintained a clear audit trail for each change request.

Ensuring Governance, Integration, and End-to-End Traceability

Guarantee compliance, security, and connectivity of your tools for an agile and reliable ecosystem.

Automations and Connectors

Integrating Jira and Confluence with Git, CI/CD, or support tools synchronizes issues, commits, and deployments. Webhooks automate status updates.

No-code connectors link Jira, Confluence, and third-party solutions (test teams, monitoring, CRM).

For example, by deploying an automation that creates bug tickets upon detecting production anomalies, one client improved response times by 40%.

Security and Compliance

ACL settings in Confluence and project permissions in Jira ensure each user sees only what concerns them. Data encryption and SSO authentication strengthen protection.

Confluence page versioning provides a full audit history, essential for internal or external audits.

Audit and Traceability

Jira and Confluence’s native logs record every change, comment, and status transition. These traces can be used for audit reports and post-mortem analyses.

Dedicated dashboards display compliance indicators, approval times, and SLA adherence.

In regulated industries, these reports often reduce process variances and ensure systematic compliance with regulatory requirements.

Optimize Your Projects with Jira and Confluence

By combining a rigorous initial setup, Agile management in Jira, and living documentation in Confluence, you achieve a coherent, transparent, and scalable ecosystem. Each phase, from backlog to approval, finds its place in a clearly defined workflow.

Traceability, security, and bottom-up collaboration strengthen trust between internal teams and external stakeholders. Your project gains agility, visibility, and resilience in the face of digital transformation challenges.

Beyond our ability to manage your end-to-end digital project—from specifications to development and production—our experts are available to adapt this blueprint to your specific context. We support you in defining your roadmap, ensuring a modular, open-source, and evolving approach.

Discuss your challenges with an Edana expert

In a context where digital transformation is a powerful strategic lever for companies of all sizes, and where the quality of a digital product and its alignment with strategic and business needs are crucial, the prototyping phase plays a central role in the process. Indeed, before deploying a single line of code, it is essential to materialize the interface and the user journey in order to anticipate business requirements and avoid costly development iterations. The prototype thus serves as a shared thread: it ensures alignment among business, design, and technical teams around a common vision of the future product. By leveraging this tool, Swiss and international organizations strengthen their agility and mitigate the risks associated with designing custom internal applications, client portals, or specialized business tools.

Defining the Prototype: What It Is (and What It Is Not)

The prototype is a visual and interactive model representing the final interface without providing the underlying technical logic. It is neither a technical PoC nor a functional MVP, but a prototype dedicated to the user experience.

Origin and Concept of the Prototype

The term “prototype” originates from engineering, where it refers to a first-of-its-kind model used to validate a concept before production. Applied to digital development, it focuses on the visual and ergonomic aspects, materializing screens and user flows without coding the functionalities.

This representation can take the form of low-fidelity wireframes or high-fidelity mockups with simulated interactions. It serves as a discussion and validation tool before embarking on actual development.

In a digital project, the prototype is thus the first tangible version of the interface, shared with users and stakeholders. Thanks to it, friction points and unclear areas in the ergonomics are quickly identified.

Difference Between Prototype, PoC and MVP

A PoC (Proof of Concept) focuses on the technical feasibility of an innovation or specific module. It tests a technology or integration without concern for the interface or user journey.

The MVP (Minimum Viable Product) is the first version of a product offering a minimal set of usable features. Unlike the prototype, the MVP is deployed in production and must address issues of performance, scalability, and security.

The prototype, by contrast, is purely centered on design and experience. It is not executed in production and does not deliver final code. It remains a validation tool before moving on to the technical development phase.

Types of Prototypes and Levels of Fidelity

Low-fidelity prototyping typically relies on rough black-and-white sketches to map out screen areas and user flows. It allows for rapid iterations on information architecture and zoning.

Medium-fidelity prototypes introduce basic graphical elements and interactions, such as page transitions or dropdown menus. They offer a more realistic preview while remaining easy to adjust.

Finally, high-fidelity prototypes faithfully reproduce the target interface: typography, colors, micro-interactions, and animations. They form a near-realistic model capable of gathering feedback very close to the final experience.

Concrete Example of a Prototype in the Parapublic Sector

For an NGO operating in the field of education and para-public services, we created a high-fidelity prototype for its new internal process management portal. Using Figma and advanced work from our design teams, they simulated the workflow for processing requests and registrations and validated the journey with key users even before starting development. This exercise clarified several navigation and information-prioritization points, thereby preventing costly redesigns once the code was written.

Key Objectives of Prototyping in Your Digital Projects

Prototyping serves to test ergonomics and the user journey before any development. It also enables gathering stakeholder feedback and aligning the project vision.

Validating Ergonomics and User Experience

The prototype provides a visual support for evaluating ergonomics: element layout, readability, accessibility, and graphical consistency. Users interact with the screens as if they were functional, revealing blocking points or misunderstandings.

In sum, the interface is tested in an almost real-life setting without exposing the company to risks related to untested code. Feedback is structured and based on concrete scenarios rather than abstract specifications.

This step significantly reduces rework once development begins, as major adjustments have already been identified and validated by users.

Previewing and Optimizing the User Journey

Beyond ergonomics, the prototype allows simulating different branches of the journey: account creation, navigation between modules, error handling, or action confirmations. Each path is tested to ensure optimal fluidity.

This makes it possible to measure path length, ease of use, number of clicks when relevant, and clarity of feedback messages. If a process appears too complex, it is simplified or reorganized before development.

This iterative work on the user journey contributes to increasing end-user satisfaction and reducing abandonment rates at launch.

Collecting Feedback and Aligning Stakeholders

The prototype serves as a concrete asset during validation workshops: business executives, UX/UI designers, IT, and operations teams share the same view of the forthcoming tool. Feedback is factual and focused on improving the experience.

Discussions are more efficient because they comment on an interactive mockup rather than specification documents. Misunderstandings are limited, and decisions are made more quickly.

This early collaboration strengthens team engagement and provides a shared vision of the product, essential for the success of tailor-made projects, whether it’s an internal application or a client portal.

Example of Prototyping in the Insurance Sector

A Swiss insurer held a series of workshops where each Miro-based prototype was tested with business managers and IT teams. Real-time adjustments reduced the functional specification phase by 30% and ensured better adoption of the future tool.

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Benefits and Limitations of Prototyping

The prototype prevents costly design errors and accelerates decision-making. However, it does not test performance, technical feasibility, or security.

Cost Reduction and Time Savings

By detecting interface adjustments before development, prototyping limits rework and code rewrites. Each visual iteration is less expensive than a post-deployment fix.

The project budget is thus optimized. Business and technical teams quickly agree on a validated version, decreasing validation cycles and late-stage trade-offs.

In the long run, a well-designed prototype streamlines communication and reduces misunderstandings, freeing up time for implementation and scaling the solution.

Improving User Adoption

An interface tested with target users ensures that the future product will meet their expectations. Feedback inspires iterations centered on real needs, strengthening buy-in and satisfaction.

Adoption accelerates at launch: users find calibrated journeys and ergonomics they helped shape, thus shortening the learning curve.

This UX-first approach is particularly critical for internal business tools, where resistance to change can be strong if the interface seems unsuitable.

Limitations: No Technical Feasibility or Performance Tests

The prototype does not provide evidence regarding the feasibility of underlying technical choices: architectural constraints, security, scaling, or integration with existing systems still need validation during development phases.

It does not measure response times or server resource consumption. Performance, security, and scalability tests take place later, in a development or pre-production environment.

It is therefore essential to plan these technical verifications and not confuse the prototype with the operational version of the product.

Concrete Example of Prototype Limitation

A Swiss industrial equipment manufacturer prototyped its future supervision dashboard in Adobe XD. Although the ergonomics were validated, technical constraints linked to real-time data volume emerged during backend development. The architecture had to be redesigned to ensure performance, but the UX work remained unchanged thanks to the initial prototype.

How to Design an Effective Prototype: Methodology and Tools

Designing an effective prototype begins with understanding user and business needs. Next, structured collaboration with a UX/UI designer and the use of tools like Figma, Miro, or Adobe XD are essential.

Understanding User and Business Needs

The listening phase involves gathering end-user and business stakeholder expectations. Objectives, constraints, and priority use cases are identified.

Interviews, co-design workshops, and field observations help formalize personas and scenarios. This user foundation ensures the prototype addresses actual challenges.

This information directly feeds the functional requirements and guides the creation of the first wireframes.

Collaboration with a UX/UI Designer

The UX designer acts as a facilitator: they transform needs into optimized user journeys, while the UI designer takes care of visual identity and graphical consistency.

By working closely with business and technical teams, they ensure each interaction is both ergonomic and technically feasible, favoring a modular and open-source approach.

Regular mockup reviews ensure buy-in and validate choices before moving to higher fidelity.

Choosing and Mastering Prototyping Tools

Figma, Adobe XD, and Miro are among the most widely used solutions. They offer built-in sharing, commenting, and animation features, facilitating remote collaborative work.

These tools rely on reusable component libraries, ensuring graphic consistency and accelerating screen production. They also integrate with design token systems and open-source or proprietary platforms as needed.

The tool choice depends on project context, internal culture, and collaboration needs (asynchronous or synchronous).

User Testing and Rapid Iterations

Once the initial prototype is produced, user testing sessions are organized with a representative panel. Feedback focuses on screen comprehension, journey fluidity, and content relevance.

Each comment is prioritized and integrated into a rapid iteration plan. The prototype evolves over several short cycles, until satisfaction is deemed sufficient to move to development.

This iterative pace ensures the final tool is centered on business needs and that risks related to misunderstandings are preemptively eliminated.

Drive Your Digital Project with a User-Centered Prototype

In summary, prototyping is the foundation of a successful digital approach: it clearly defines the interface, tests journeys, and unites stakeholders before any technical development. This approach reduces costs, accelerates decisions, and improves final adoption by ensuring an optimized user experience.

Faced with your digital transformation challenges, our UX/UI experts, strategists, and software architects are here to support you in designing prototypes that match your business needs, as well as in developing and integrating complete production-ready digital solutions. Together, we establish agile collaboration and deploy scalable, modular, and secure tools without vendor lock-in.

Discuss Your Challenges with an Edana Expert