The slow part was never the testing.
It was the queue in front of it. AI testers go ahead of that queue, so the first answer takes minutes.
One morning, start to finish
Reconstructed from the sample study every workspace starts with — the clock is what changes, so the clock is the story. The run beside it is the one the morning was built on.
Monday, 09:14
You paste a prototype link and a goal
One sentence: “reach checkout”. Your AI testers start attempting it before the kettle boils.
Monday, 09:31
The AI testers is done and the spread is visible
A cautious newcomer needed twenty steps where a power user needed thirteen — and the hesitations cluster on one screen.
Monday, 10:05
The finding goes to whoever owns the screen
Ranked critical, with the exact beat attached — not “onboarding could be clearer”, but which field, on which attempt, and what the tester said there.
Monday, 11:40
The fix ships, and the same study confirms it
Re-run the AI testers on the new build, or hand the link to a real person. Same tasks, same scoring, one evidence trail.
What is actually in the product today
Nothing here is a roadmap item, and each figure says where it comes from.
- 0
- AI testers per run
- 0
- Question-block types
- 0
- Ready-made study templates
- $0
- Free AI compute a month
They run in parallel, so an AI test run takes about as long as one session.
In the study builder today, from five-second tests to card sorts.
Each one is a real study with its tasks and questions written, not an outline.
The free tier's actual allowance — enough to run a study end to end.
Against the way testing is usually done
Both columns are real trade-offs. This compares a practice, not any product — and the right-hand column genuinely wins some rows.
| uTestMe | Recruited moderated testing | |
|---|---|---|
| First answer | Minutes — the AI testers run the moment the study exists. | A recruiting cycle: find people, schedule them, run the sessions, write it up. |
| Cost per iteration | Some compute. Testing the same flow five times in a week is normal here. | Each round pays for recruiting and moderation again, so most flows get one round. |
| Who runs it | The designer or PM who owns the flow, same day, no research request. | Someone trained to moderate — which is a real skill, not a formality. |
| Evidence trail | Every claim tied to the beat it happened on, scored identically for AI and human sessions. | As good as the note-taking on the day, and usually a recording somebody has to re-watch. |
| Depth per session | Structured think-aloud — broad, fast, and honest about being simulated. | A skilled moderator following a thread no script anticipated. This column wins this row. |
If you have a trained researcher, recruited participants and two weeks, moderated sessions surface things no simulation will — the product's own human-testing flow exists precisely because that judgement is right. What this product removes is the queue in front of the first answer, not the value of a person watching a person.
Where it fits
Between drawing it and building it — and then again after
The cheapest moment to find a usability problem is before anyone has written the code for it. The second cheapest is before it reaches everyone. uTestMe is built to be used at both, by the same person, without a research request in between.
- In the design reviewAudit the screen against one goal and bring ranked findings instead of a preference.
- Before the buildRun AI testers on the prototype and fix what stops people while it is still a file.
- Before the rolloutShare the same study with real users and confirm the finding held once it was real.
Four jobs, one workspace
Product designers
Test a flow the same week you draw it, while changing it is still cheap.
Product managers
Walk into the review with the problems in order and the session that produced each one beside it.
Researchers
Save the sessions with real people for the questions only a person can settle.
Agencies
A workspace per client, and a report you can put your name on.
Sell you a confident number we cannot stand behind
Simulated sessions are labelled simulated. An estimate says it is an estimate. A metric nothing was recorded for reads “not measured” rather than showing a zero. A comparison with no sessions behind it is a prediction and says so on the page. These are enforced in the product, and they are the reason its numbers are worth quoting.
What a stakeholder asks
The four that decide whether this becomes a tool or a tab.
Does this replace research?
No. It replaces the waiting. Human sessions still decide.
What do we have to change to adopt it?
Nothing in your product. No SDK, no snippet, no tag.
How do we know the AI results are any good?
Run the same study with real testers. The report keeps both columns apart.
What is the risk if it does not work out?
A signup. Nothing installed, nothing to unwind.
Ask for a walkthrough
Tell us what you are trying to test and we will show you the product doing it — on your flow, not a demo account. It takes about twenty minutes.
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