Cluster · Verify

Data that holds up when your client scrutinizes it.

When your client questions the data, the answer should be easy. Every response runs through four detection layers plus human review — Device Forensiq IQ, in-survey traps, open-end review, identity verification — layered and audited per audience. Verified, and documented.

verification · in-flight Live

Device Forensiq IQ✓ pass
CloudResearch Sentry✓ pass
Survey platform protections✓ pass
In-survey traps✓ pass

391 verified completes · human review on every study

Data quality isn’t a claim. It’s a commitment. Our stack combines primary fraud and duplicate detection, proprietary in-survey attention traps and red herrings, open-end response review, optional CloudResearch Sentry, and identity-verified respondents — and we audit the combination per audience type, adjusting based on what actually catches bad actors.

Identity verification

Structural fraud prevention via identity-verified respondents on the Outsized Panel.

Device Forensiq IQ

Primary

Primary fraud and duplicate detection running on every study.

In-survey traps & red herrings

Proprietary

Attention checks and red herrings designed per study type to catch inattentive and fraudulent respondents in-flight.

Open-end review

Human review of verbatim responses to catch what automated checks miss.

CloudResearch Sentry

On request

Available at minor additional cost, commonly applied to geo-specific studies.

There is no such thing as cheap sample that is also high-quality sample. Every data-quality failure in market research starts with a decision to save money on respondents — and providers who cut respondent costs almost always cut data-quality infrastructure too. We don’t make that trade-off.

Have a study in mind?

Audited per audience type, not applied uniformly — documented, never “guaranteed.”