Respondent verification
Identity, location and device consistency can help establish whether a participant is plausible for the project.
Survey data quality
Survey fraud prevention before data delivery
Survey fraud prevention works best as a series of corroborating checks, not a single blunt threshold. KARI reviews identity, device, route and response signals in the context of the study.
How the work is planned
Behavioral review
Timing, answer patterns and open-ended responses provide further signals that should be interpreted together.
Source-level oversight
Quality trends can be reviewed by source so operational decisions remain visible before delivery.
Related delivery context
See an anonymized fieldwork scenario.
The case record focuses on the challenge, delivery approach and quality controls rather than client identity.
Related insights
Useful context before the brief.
Data quality8 min read
Data quality · April 16, 2026
A fast interview is not always a bad interview
Speeding and straight-lining are useful clues, but neither should make the decision on its own. Reliable review combines identity, device, route-aware timing, answer consistency, open ends and source-level patterns.
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Panel strategy6 min read
Panel strategy · January 14, 2026
Panel health shows up in the data
Repeated screen-outs and poor survey experiences do more than annoy members. Over time they change who still accepts invitations, how carefully people respond and whether the panel remains representative of the audience a client expects to reach.
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Start with the study requirements
Need respondents for a similar study?
Share the audience, market and timing. We will review feasibility before proposing a route to fieldwork.