Digital Products & Engineering
UI/UX
We watch where people get stuck in your product, then turn what we learn into screens and a design system your developers can build.
The problem
The product looks polished, yet users can't finish simple tasks and support keeps answering the same questions.
Without evidence, design reviews turn into taste debates and the most senior opinion wins. What a user was trying to do at that moment never reaches the room.
Much of what gets labeled a visual problem is structural. If people can't find something, the navigation probably speaks your org chart's vocabulary. If they abandon a form, some field makes no sense to them or asks too much. A new palette touches neither.
Inconsistency grows with the product. Teams without a design system redraw the same patterns, and each new feature takes longer.
You may recognize this
- Support tickets cluster around the same few screens.
- Every demo requires walking people through the product.
- Empty and error states were never designed, so developers improvise.
How we work
Task analysis
We list the tasks that matter to the business, then pull friction points from analytics and support logs.
Moderated testing
People who resemble your real users work through tasks while thinking aloud. A few sessions per segment expose the recurring blockers.
Structure and flows
Card sorting and tree testing validate the navigation. Flows cover the unhappy paths as well: validation errors, empty states, timeouts.
Design system
Color, type, and spacing become design tokens, and components get documented with every state in Figma and mapped to code. We test against WCAG 2.2 AA, long Turkish strings, and i/İ casing.
What we deliver
- Task map and prioritized problem list
- Usability test report
- Information architecture and user flows
- Clickable prototype
- Design tokens and component library
- Developer handoff notes
How we measure
- Task completion rate, the plainest test of whether a design works.
- Support tickets per screen, which tie design problems to operating cost.
- Design system adoption in code, which shows whether consistency is holding.
A clinic booking flow
Illustrative scenario: A multi-branch dental clinic asks patients to pick a doctor before showing any times, though most just want the nearest branch and the earliest slot. Testing makes the mismatch obvious. The flow is rebuilt to start with location and date, and choosing a doctor becomes optional.
Common questions
How many users do we need to test with?
To find problems, a handful per segment is usually enough, because the same blockers repeat quickly. Proving one version beats another takes a larger sample or an A/B test.
Do we have to redesign everything?
Rarely. We start with the flows that cost you the most, then bring the design system into existing screens gradually, without betting the product on a rewrite.
Can our own developers build the designs?
Yes. We walk them through the components, tokens, and behavior notes, and stay available during the build, because small decisions always surface once real data hits the interface.
Before we work together, let's think together.
Requests are answered by the founder.