Participant Recruitment and Sampling Questions

Covers strategies and operational practices for identifying, sourcing, and managing research participants to produce valid, representative samples. Topics include defining inclusion and exclusion criteria, screener design to avoid bias, quota and probability sampling approaches, recruiting channels such as internal panels, external vendors, and community outreach, incentive structures and ethical compensation, participant quality control and retention, panel and vendor management at scale, managing diversity and representativeness across concurrent studies, and articulating how recruitment limitations may influence findings. Practical skills assessed include designing recruitment plans, estimating sample needs, mitigating selection bias, balancing speed and quality, and explaining trade offs when scaling participant operations.

HardTechnical

72 practiced

Your internal participant panel retention rate has fallen to 40% yearly and average response quality is declining. Propose a program to rebuild panel health that includes policy changes, incentive redesign, re-screening cadence, communication strategy, and product features (e.g., panel portal). Include measurable targets, KPIs, and a 6-12 month timeline.

HardTechnical

103 practiced

A cross-country study includes the EU, US, and India, but local rules and tax reporting constrain payment methods and amounts. Create a compensation policy that is compliant, equitable, minimizes cross-country bias due to different monetary values, and is operationally feasible. Include recommended payment methods, documentation process, and exception handling.

HardTechnical

98 practiced

You're designing a mixed-methods study: a large quantitative survey will feed targeted qualitative interviews. Describe an integrated recruitment and sampling strategy so that interview participants are properly nested within survey respondents without introducing bias. Include timing, consent for follow-up, screener logic, and how you would select interviewees to cover both typical and edge-case behaviors.

MediumTechnical

95 practiced

You want to detect a 10-point difference in SUS scores between two onboarding designs with 80% power and alpha 0.05. Assume SUS SD=15 and expected dropout 20%. Describe how to estimate the per-arm sample size, the total recruitment target after accounting for dropout, and any assumptions baked into the calculation.

MediumTechnical

103 practiced

You need to advise your PM whether to invest in building an internal recruitment panel or continue using external vendors. Create a cost-benefit analysis framework over a two-year horizon that includes fixed and variable costs, quality and speed benefits, expected fill rates, and sensitivity to study cadence assumptions.

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