Test your projects before real people ever see them
How It Works
Set up, run, and review. It's that simple.
Set up and run AI testers
When publishing a project, select the Panel tab and choose Our AI Testers. Configure your simulated audience by setting demographic profiles, tech savviness, and behavioral traits to match your target market. Each imulated participants then completes your project just as a real person would, moving through your questions, triggering conditional logic, and responding based on their assigned profiles.
Review insights and fix issues
Review the responses in your Analytics, Insights, and All Responses tabs just as you would with real participant data. Use what you find to refine questions, fix branching logic, and validate your project flow before it goes live to your actual audience.
Key Benefits
Discover what you can do with Our AI Testers.
Catch Problems Before Real Participants Do
Confusing questions, broken logic paths, and awkward flows are much easier to fix before launch than after. Each simulated participant completes your project end-to-end so you can identify and correct issues while changes are still fast and cheap to make.
Test Branching Logic at Scale
Conditional logic is hard to validate manually. Run multiple demographic profiles simultaneously, triggering different branches and paths to confirm every conditional route works as intended before your first real response comes in.
Customizable Profiles That Match Your Target Audience
Configure each simulated participant with demographic attributes, tech savviness levels, and behavioral traits that reflect your actual target market. The closer the simulated audience matches your real one, the more useful the preliminary feedback becomes.
Surface 60-70% of Insights Before You Recruit
In user testing, our simulated testers surface 60-70% of the insights you would get from real participants. Run a preliminary round to identify the most significant findings, then recruit real people to go deeper on what matters most.
Move Faster Without Sacrificing Quality
Skip the waiting period that comes with recruiting. Simulated participants respond immediately, letting you iterate on your project design in hours instead of days and giving you more time to act on the insights that actually count.
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FAQs
AI Testers work across all TheySaid project types. In AI User Tests, they appear as our AI Testers. In AI Surveys, AI Interviews, AI Forms, and AI Polls, they appear as Our AI Participants. Either way, you can use them to validate any project before recruiting real participants.
Simulated testers complete your project based on assigned demographic attributes, tech savviness, and behavioral traits rather than lived experience. In user testing, they surface approximately 60-70% of the insights you would get from real participants, making them a strong preliminary validation tool before committing to full recruitment.
Yes. You can configure demographic attributes, tech savviness levels, and behavioral traits to match the audience you plan to recruit. This makes simulated responses more representative of how your real target market is likely to engage with your project.
When publishing a project, select the Panel tab and choose Our AI Testers from the panel dropdown. This is the same tab used to recruit from TheySaid's panel of 5M+ real participants or through our panel partners.
They're designed for preliminary validation, not as a replacement for real participants. Use them to identify and fix problems early, then recruit real people for final validation. The combination gives you faster iteration cycles and higher-quality results from your real recruitment.
AI Testers is a coming soon feature. Join the waitlist or contact our team to be notified when it launches
Test smarter.
Launch faster.
Run your projects with AI Testers before recruiting real participants. Catch problems early, validate your flow, and go live with confidence.
TheySaid User testing recommends questions, delivers via your existing channels, engages your audience,and summarizes results through AI user testing, surveys, and interviews.
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