Low quality response screening
What's new
Low quality screening is now enabled by default for all new studies
The AI moderator scores each response during the interview and warns participants when answers are too short, off-topic, or unclear
After three low-quality responses, the interview ends early and the participant is not paid
Each interview in your Results tab now shows a quality label (low, medium, or high) to help you prioritize where to dig in
Why it matters
Fraud screening catches bad actors. Low quality screening does something different: it catches disengaged or low-effort participants in real time and gives them a chance to course-correct before it affects your data. That means fewer short, vague, or unusable responses making it into your results without you having to sift through them manually.
How to use it
New studies will have low quality screening on by default. You can turn it off on the Recruit page before publishing.
For studies created before this change, toggle on "Low quality screening" in your study setup.
After interviews run, filter by quality label in the Results tab to focus your review time.
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