We go through your product’s key journeys, interface and data, and find where the experience makes people work too hard.
AI sorts the feedback and drafts possible fixes. Our designers verify every finding and decide what to change, what to test and what to leave alone.
Focus the audit
We agree on the product, the users, the journeys and the questions the business needs answered.
Then we check access, the data you have and what’s in scope.
Walk it
We go through key tasks on the devices that matter, the way your users do.
Navigation, content, accessibility, and the loading, empty and error states that are easy to miss, read alongside your analytics and feedback.
Check the evidence
AI groups the feedback and drafts the findings.
Designers verify each one against the product, and keep what we saw apart from what still needs a user test.
Rank & recommend
We rank the findings, with engineers weighing in on effort where it matters.
Each one comes with a proposed fix, what to measure and what still needs validating.
- A ranked findings list.
- Every issue tied to a screen and a journey, with the evidence, its severity and a rough effort estimate.
- An annotated walkthrough.
- Screenshots and a recorded review that show each issue and the reasoning behind the fix, so your team hears the why.
- Recommended fixes.
- Concrete changes to make, with sketches or AI-built examples where a finding needs showing.
- A plan to validate.
- What to test, which signals to track, and where missing data limits what we can conclude.
Illustrative audit finding. Not a result from a client project.
An error with no way forward.
- Observation
- The form shows a generic error after submission, without identifying the field that needs attention.
- Potential impact
- Users may struggle to correct their input. The effect on completion needs validation.
- Proposed change
- Show an explanation beside the affected field and preserve the values already entered.
- How to validate
- Test error recovery with users and track successful resubmissions.
18 years of building.
We’ve built digital products for clients and for ourselves since 2008. We bring that pattern memory to your review, then check what actually applies to your users and your business.
AI helps us sort the evidence and explore fixes faster. The findings and recommendations stay our designers’ responsibility.
Engineers are on hand to size the work, so you can tell a quick fix from a change that needs deeper work.
We work with the data you have. Where it’s missing, we say so and tell you what to look into next.
Journeys & interface
- Navigation
- Core tasks
- Forms & feedback
- Responsive behavior
The journeys we agree on, including loading, empty and error states, with accessibility checks within scope.
Product evidence
- Funnel analytics
- Session data
- Support themes
- User feedback
What we see in the interface, checked against how people actually behave. A review on its own can’t tell you why users leave.
Consistency & accessibility
- Components
- Content
- Visual hierarchy
- Keyboard interaction
Inconsistencies and common accessibility barriers. A full accessibility assessment is scoped separately.
Business & technical context
- Product goals
- User groups
- Design system
- Implementation constraints
The context that sets priorities and dependencies. Not every problem needs a redesign.
Your team can take the recommendations from here, or ours can. Go for a focused redesign, or ongoing UX/UI work built around the findings.
Bring a business problem, a process or an idea.
We’ll help you find the right next step.
A short intro call is often the fastest way
to see what’s worth pursuing.
