UX/UI Engineering | Anexia Digital Engineering

Clarity, not decoration.

In a professional environment, technical clarity matters – not decoration. We build interfaces that reduce the load on users and lower error rates – validated, not guessed.

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Data over assumptions.

We start with data on real work processes – not with assumptions. System logs, interviews and watching users at work produce requirement profiles and user stories. Every function has to earn its place in daily work – measured by the time per task.

  • User analysis

    Workshops, interviews at the workplace and analysis of system logs – metrics instead of gut feeling.

  • Design systems

    Reusable components and design tokens, in sync with React or Vue – consistency across the whole application.

  • Accessibility

    WCAG 2.1 AA: contrast, keyboard operation and ARIA – compliant with the EAA and usable in practice.

  • Validation over opinion

    Usability tests, SUS and A/B tests – decisions based on data.

Design disciplines

Design that earns trust.

Methods

Decisions based on data.

Research

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  • Contextual interviews

    Observation at the workplace, analysis of real processes.

  • Requirement profiles

    User stories with measurable value per function.

  • System log analysis

    Usage data instead of assumptions as the starting point.

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Prototyping

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  • Low-fidelity

    Wireframes for structure and flow, quick to discuss.

  • High-fidelity

    Interactive Figma mockups for usability tests and sign-off.

  • Stakeholder sign-off

    A clickable approval before implementation begins.

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Testing

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  • Eye-tracking & heatmaps

    Where attention goes – and where it doesn't.

  • SUS & A/B tests

    Standardised scores and data-driven decisions.

  • Task completion rate

    Success rate per core task reveals obstacles.

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Show us. Good UX precedes code.

Bring your interface and we'll find the friction points for your users. In usability tests we measure task completion rate and SUS score and derive concrete improvements.