AI user testing
Also called AI usability testing, automated user testing
AI user testing sends AI agents with defined personas through a product in place of recruited participants, and reports what each one did and where it got stuck.
A test starts from a task and a persona: sign up as a first-time freelancer, find the returns policy as someone on a phone in Germany. The agent opens the product in a browser, attempts the task, and its steps are recorded.
The difference between approaches is whether the agent really uses the product. Some tools ask a language model to imagine a user and describe their reaction. Others drive a real browser session, so every claim in the report ties back to something that happened on screen.
AI user testing is fast and repeatable, which suits early prototypes and every release after launch. It does not tell you whether people would pay, or how a specialist reads your product; that still needs people.
Where Stunt Double fits
Stunt Double is AI user testing with real sessions: actors drive a real browser, use their own inbox for sign-up and one-time codes, and attach a screenshot to every step and finding.
Related terms
- Synthetic usersSynthetic users are AI agents given a persona (a background, goals and constraints) that stand in for real users in research or testing.
- Usability testingUsability testing watches people attempt real tasks in a product to find where they hesitate, make mistakes or give up.
- UX regression testingUX regression testing checks, after every change, that the flows users depend on still work and still make sense, not only that the code still passes.
- User personaA user persona is a profile of a type of person a product serves: who they are, what they are trying to do, what they know already and what gets in their way.