You spend the budget where it pays
Findings are tied to the journeys that matter, so the work queue starts with the pages costing you enquiries.
Inspect how people understand and correct AI output.
We review the agreed product or website journeys using safe examples. The audit records observable confusion, missing controls and failure states, while separating interface findings from model-quality questions.
A few clients we’ve worked with
What we do
UX audit for AI companies: input journey inspection, output review, evidence and priorities.
What UX audit needs to account for.
An interface can appear successful while returning an unusable result.
A user needs an understandable path when the model cannot complete a task.
Model errors and interface defects need separate evidence and ownership.
What an audit tells you before you rebuild.
A working page can still make a task harder than it needs to be. Finding out which pages, and why, is cheaper than redesigning everything and hoping.
Opinions become evidence
Interface inspection combined with your own analytics separates observed problems from the ones someone assumes exist.
A redesign stops being a gamble
The audit is the brief. The next project starts from known problems instead of a general feeling that the site is tired.
UX audit scope.
Plan input journey inspection, output review and evidence and priorities as connected parts of the engagement.
Input journey inspection
Check instructions, file requirements and validation before processing begins. Record unclear restrictions or missing progress feedback.
Output review
Inspect result labels, source references and correction controls. Test the available partial, failed and empty outcomes.
Evidence and priorities
Provide screenshots, reproduction steps and recommendations. Route unresolved model behaviour to engineering rather than presenting it as a design certainty.
What clients say.
Reviews from the companies we have built and maintained websites for.
Read every review on Clutch“We didn’t choose them to be impressed — we chose them because we knew they’d deliver high-level results with no risk. As a CTO myself, that’s exactly what I look for in a long-term partnership.”
“And, you know, the great part about the fact that you hit the goal, it's not that you had to compromise anything that you were doing, because, honestly, the end result far exceeded what we could have imagined.”
“I would just say that you deliver on quality … I just thought we clicked, and you delivered what we were looking for.”
“Norml Studio's professionalism and responsiveness were impressive.”
UX audit deliverables.
The agreed UX audit scope is documented in the following work products.
- 01
Journey review with screenshots
- 02
Prioritised findings and reproduction notes
- 03
Recommendations and research questions
Our process
How we approach UX audit.
Choose safe scenarios
Agree the task, environment and sample inputs available for interface inspection.
[ 01 ]
Inspect input and result handling
Record unclear instructions, progress states and correction paths with reproducible examples.
[ 02 ]
Route the findings
Separate interface fixes from model-evaluation questions and review priorities with the responsible owners.
[ 03 ]The people who do this work.
No account layer between you and them. These are the Norml specialists this work runs through.
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
Get startedUX audit for AI companies: questions.
Does a UX audit measure model accuracy?
No. It reviews the user experience around agreed examples. Model evaluation requires a separate test design and representative dataset.
Can you inspect an internal prototype?
Yes, with authorised access and safe sample inputs. Findings will state the limits of the prototype environment.