New participant quality signals

We already have a number of machine learning model and participant verification steps in place that allow us to screen out obvious bad actors, but we’re excited to introduce some new researcher-facing tools so you can better assess candidate quality, especially in cases with a bit more gray area.

We've added new quality signals to offer more insight on suspicious participant behavior. This includes activity data such as seeing when a participant joined, what time they applied to your study, previous applications & reviews, and more. We hope these updates give you that extra insight to confidently approve the best candidates for your studies.

You’ll see these updates on a participant’s profile—here’s what’s new:

• New activity bar that shows the # of applications and # of completed sessions in the last 30 days, as well as the % of positive feedback from researchers over time
• You can now see a participant’s Account creation date
• You can now see a participant’s Application time
• Qualification status and Match % have moved to the profile header for more efficient review

For information on the statistics in the activity bar, you can hover over the question mark icons for a more detailed summary.