Respondent Quality Assessment

Fortune 1000 Research Quality

Is Your Research Sample Putting Your Decision at Risk?

High-stakes research can be fully recruited and still fail if the wrong humans are sitting in the seats.

Take the 3-minute Respondent Quality Assessment and identify weaknesses before your study goes into field.

10 questions · 3 minutes · Score out of 20 · Instant results

  • 2xInc. 5000 Honoree
  • 300K+Verified Panelists
  • 98%+Client Satisfaction
  • 9/10Average Show Rate

Why this assessment matters

Your research is only as valid as the humans behind it.

When a Fortune 1000 company runs market research, the stakes are rarely small. The findings may influence a product launch, a customer experience strategy, a healthcare initiative, a UX roadmap, a pricing model, an AI product, or a multimillion-dollar investment.

The purpose of this assessment is not simply to determine whether the study can be filled. It is to determine whether the sample can be defended.

A study can be fully recruited and still be weak. A screener can be completed and still be easy to game. A respondent can look qualified on paper and still be wrong for the conversation.

  • 10 diagnostic questions

    The same ten quality risks Focus Insite pressure-tests on every Fortune 1000 recruit — audience, screener, verification, incentive, fraud, show rate, timeline, and defensibility.

  • Scorecard & risk gauge

    A score out of 20 and a clear High / Moderate / Low respondent-risk classification, calculated instantly from your answers.

  • Personalized action plan

    Your three biggest vulnerabilities, the business consequence of each, and the specific safeguard that closes the gap.

How scoring works

Score each of the 10 categories from 0 to 2.

  1. Not addressed
  2. Partially addressed
  3. Strongly addressed

What the assessment covers

The 10 respondent quality risks every high-stakes study should be able to answer for.

  1. 01
    Audience DefinitionIs the audience clearly defined?
  2. 02
    Audience FeasibilityCan this audience realistically be found?
  3. 03
    Screener StrengthIs the screener too easy to game?
  4. 04
    Experience VerificationAre we verifying real experience?
  5. 05
    Incentive RiskIs the incentive helping or hurting quality?
  6. 06
    Fraud / AI RiskIs there fraud or AI-assisted response risk?
  7. 07
    Show-Rate ProtectionDo we have a show-rate protection plan?
  8. 08
    Leadership DefensibilityCan the sample stand up to leadership scrutiny?
  9. 09
    Timeline RiskIs the timeline creating quality risk?
  10. 10
    Defensible SampleIs this a completed recruit or a defensible sample?