A cohort of AI testers. One task. Minutes.
As many AI testers as you want attempt your prototype at once — in seconds, or live in a real browser.
- A whole cohort at once
- As many AI testers as you want attempt the same task in parallel and say what they are thinking at every step.
- Seconds, or a real browser
- Simulation predicts the walkthrough from the design alone. Live drives a real browser and streams every click.
- Labelled predictions
- Every AI result says simulated. Measurement comes from human sessions, kept beside it.
- Friction, named where it happens
- Hesitation, confusion and error are tagged on the step that produced them.
Everything a session gives back
Pick a capability to see it drawn from the sample study.
For each step you get what the tester was looking at, what they said, what they clicked, and whether that step gave them trouble — with the reason it did.
How a session runs
Put yourself in every tester’s shoes
The runs teams reach for first.
Find the step that loses people before anyone is lost
Send a cohort through the new payment flow on the afternoon the prototype lands, and see where people stop before anyone real does.
“Where do I type the code? I expected it next to the total.”
See the first five minutes through six pairs of eyes
A professional in a hurry, a cautious first-timer, someone on a slow phone. What one finds easy and another cannot finish is the useful part.
Test the new flow against the one you have
Run the same study against the old flow and the new one. The report puts the differences in order and shows the sessions behind each of them.
Choose the testers the room forgot
Testers with low vision, a screen reader, large text or a right-to-left language are in the library already. Pick the ones you never get to recruit and run.
“The label reads as cancel to me. I would not press it.”
Answers in minutes, not weeks
- ~3 minfrom prototype to six sessions
Start in minutes
No research panel to buy, no calls to schedule, and nothing to install in your product.
- simulatedestimate
Labelled honestly
Anything predicted rather than measured says so, in the results, in the PDF and on a link you shared weeks ago.
- 18 AI6 human
Confirm with people
Send the same study to real people when you want proof. Their sessions land beside the AI’s and are scored the same way.
Three kinds of thing, one kind of run
No SDK, no tag, nothing to install.
A live URL
Anything with a URL — staging, production, or the preview deploy from a pull request.
A Figma prototype
Frames and the links between them are imported, so a flow can be tested before anybody builds it.
Uploaded screens
Upload the screens as HTML when the design is not hosted anywhere yet.
Where AI testing hands over
- Human testersOne link. Consent first. Their sessions land beside the AI’s.No panel · no scheduling
- UX AuditOne screen, one goal, ranked findings — before there is a prototype.No testers required
- Evidence and reportsRanked findings, the evidence attached, a work order for your agent.Present · PDF · share link
The skeptical questions
Which is the right way to arrive at a page about AI testers.
How is this different from asking a chat model?
A chat model gives an opinion. uTestMe runs sessions, step by step, and every finding is tied to the moment it happened.
Do the AI testers really use a browser?
In Live mode, yes. Simulation predicts the walkthrough in seconds, with no browser. Both are labelled.
Are the AI results just made up?
They are simulated and labelled simulated everywhere. They tell you where to look first; human testers confirm.
Can I watch a run happen?
Yes. Sessions stream beat by beat while they run.
Test from your pocket
The uTestMe tester app runs a study on a phone. Taps and screens recorded, consent first, results in the same view.
- Tap tracking
- Screen recording
- Consent first