Test it on people before you ship it.
Simulated users built from real behavior use your website, app, chatbot or voice agent the way your customers would. See every click, where they give up, and why.
Five hundred sessions, not one tester.
Each simulated user has a history, a device and a reason to be there. Some hurry, some get confused, some give up. You see every path, and where the paths stop.
Where it breaks, and why.
Faults come back ranked by how many sessions hit them, each with the events that mark it and what the person was thinking.
Anything people use.
- Websitesclicks, scrolls, form input
- App buildstaps, swipes, screens
- Chatbotsmessages, retries, hand-offs
- Voice agentsturns, interruptions, hang-ups
How it works
- 1Minutes
Point
Give it a URL, a build, a prototype, a chatbot or a phone number.
- 2Same hour
Run
Hundreds of simulated users try to do the job, each in their own way.
- 3Same day
Read
Where they stopped, ranked by how many, with the reason in words.
- 4Overnight
Confirm
Real interviews on what the run flagged, back by morning.
From weeks to the same day.
- Moderated usability studyRecruit, schedule, moderate2 to 4 weeks
- Live A/B testShip, wait for traffic, read2 to 6 weeks to read
- JeanBefore the branch mergessame day
Why teams run it first
- Before launchFind the drop before a customer does.
- Every segmentNot one tester. The population.
- Why, not just whereEach session says what went wrong, in words.
- Checked with real peopleInterviews by morning on what the run found.