High-quality research depends on talking to real people who truly match your target profile. Fraudulent or low-effort participants waste your budget, distort your insights, and slow down decisions.
UserTest Pro uses a three-layer quality system to keep bad actors out and surface the best participants for your studies: platform-level verification, client-side controls, and ongoing performance management.
This is the first wall against fraud and misrepresentation: every participant must pass identity and profile checks before they see your studies.
Key profile fields (job title, company size, annual income range, and location) are protected from frequent edits to prevent “persona hopping.”
Job title, company size, and annual income range can be changed only a limited number of times; if these fields are updated too often, the account is automatically flagged for review by the quality team.
Location can be entered once and is then locked; participants cannot keep changing cities or countries to qualify for more studies.
Updates are allowed only occasionally or with additional checks, making it much harder to “shape-shift” into a new persona just to qualify for a study.
Goal of Layer 1: Keep obviously fake accounts, identity shifters, and low-credibility signups out before they ever reach your screener.