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Identity verification in seconds

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My Role: Sole UX/UI Designer

Services: UX, UI, IxD, User Research, Data Analytics

Platform: Native Mobile Application (iOS / Android)

Employer: PXL Vision AG

Timeline: 6 months, Okt - March 2019

30-second identification process – through radical clarity

The DAEGO app enables identity verification in under 30 seconds. Through targeted reduction of complexity, context-based user guidance, and real-time feedback, we increased task completion by 23% and reduced error abandonment by 56%. Fewer steps. More clarity. Measurable impact.

Core shift: From assumptions to truth – through user-centered design.

3 Min. Read

How we solved problems

Three challenges, three breakthroughs

Simple isn't always easy – and that's the problem.

We thought the task was simple. Users behaved differently. Tests showed that motor skills, cognitive understanding, and mental models were all challenged. So we went deeper. Studied how people approached the task. Then we brought the control system to where it is needed – manageable, context-based, targeted, without detours. No video tutorials nobody watches.

Instead, guidance in the moment. The result: +23% successful task completions. -56% error abandonment. Clarity beats complexity. Always.

Observations from user tests – Most errors occurred during handling, resulting in unusable images.
Observations from user tests – Most errors occurred during handling, resulting in unusable images.

Complexity isn't the problem. The wrong complexity is.

Users were overwhelmed. Not because the task was hard – but because we demanded too much of them. We applied Tesler's Law and asked: What must humans really do? And what can the system handle? The answer was clear: We dropped the ballast. Eliminated redundant information. Shifted problematic decisions from the user to the system.

Resulting in 36% faster task completion. Not through more features. Through less friction.

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Errors happen. The question is: How do users get out?

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Diverse error sources. Human, system, network. Unpredictable. We observed, analyzed, and recognized patterns. Then we built in real-time computer vision feedback – immediate, clear, solution-oriented. No cryptic error messages. No dead ends.

Instead, clear exits. Because the best error is one you can escape without drama.

What else are we working on

  • Cluttered and misleading navigation of the App
  • Development and interactions to scan security features like Hologram and Lenticulars
  • Integration of NFC reader, including native OS restrictions and user guidance
  • Development of the cross-application PXL design system (PXL website, Daego app and PWA, manual checker & annotation tool, and the Saas platform)

Final Designs

One System without questions

Before DEAGO Version 1.0

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After DEAGO Version 2.4

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Navigation

It provides easy navigation to review, edit, and create new identities and documents and provides accessibility to app settings and information.

 (L) Startup navigation (R) After creating the first identity
(L) Startup navigation (R) After creating the first identity
(L) Document list (R) Document Data preview
(L) Document list (R) Document Data preview

Identification processes

At its core, the app performs multiple security checks on the selfie and the document to verify the user's identity. These checks integrate seamlessly into the identity verification flow.

Selfie verification

Screenshots of the selfie verification flow
Screenshots of the selfie verification flow

Document verification

Screenshots of the document verification flow
Screenshots of the document verification flow

Instant Computer Vision feedback and error handling

Instant computer vision feedback and contextual error feedback

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Key Learnings

What this project taught me

Building design maturity from the ground up

Being the sole designer meant fighting for every design decision without the support of a process. Stakeholder education hurts more than pixel-pushing. What helped: proving value through quick wins, then scaling lightweight methods into lasting foundations.

Leading strategic change across systems

The pain wasn't technical – it was organizational resistance to change. Moving from native to PWA meant convincing skeptics while keeping users at the center. What worked: showing value early, iterating based on feedback.

Orchestrating cross-functional collaboration at scale

Timezone chaos, conflicting priorities, and tech-heavy stakeholders made alignment brutal. What saved me was over-documenting decisions, creating shared vocabulary, and turning async constraints into advantages through proactive communication on Slack and video walkthrough as rituals.

What still matters

Designing for errors is designing for humans

Our assumptions as designers are often far from users' reality.

Thank you for reading

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