New Feature
Catches the say-do gap
AI flags the moment someone does the opposite of what they said.
Follow-ups that click
Asks questions grounded in participants’ actual on-screen choices.
Redirects off-task sessions
When participants share the wrong window or land on the wrong tab, it brings them back so you don’t lose the session.
Quantifies behavior
Ask for per-subtask time, medians, 90th percentiles, or click counts across participants.
Traceable, not a black box
Click any metric to jump to the moment behind it, and export the raw data.
Live observation during the interview
The AI Interviewer sees what a participant is doing on their shared screen and acts on it in the moment, keeping the session on track and the follow-ups useful.
Activity analysis after the study
Captured behavior becomes queryable findings, so you report what people did without re-watching every recording.
Defensible data you can stand behind
A video model writes a timestamped log every second and logs every significant on-screen change. It gives a full record of what happened on screen, the same way a transcript records what was said.
Use Case
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