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Research Methodology Selection and Tradeoffs Questions

Covers how to choose, justify, and execute research and analysis methods given research questions, stakeholder needs, and real world constraints such as limited time, budget, or access to users. Candidates should be able to compare qualitative methods such as interviews, usability testing, ethnography, and diary studies with quantitative methods such as surveys, analytics, split testing, and controlled experiments, and explain when and how to combine them into mixed methods designs. The topic includes core decision criteria and trade offs including generative versus evaluative goals, depth versus breadth, speed versus rigor, sample size and power considerations, cost versus validity, internal validity versus external generalizability, and short term versus longitudinal designs. Practical skills include aligning methodology to success metrics and business objectives, scoping minimal viable research designs, selecting sampling strategies and proxies, recruitment and instrumentation choices, pilot testing, estimation of sample size for quantitative work, mitigation of bias and threats to validity, documenting limitations and uncertainty, communicating and defending methodological choices to nonresearch stakeholders, and ensuring ethical and privacy safeguards and data quality in constrained or iterative studies.

MediumTechnical
29 practiced
Estimate the approximate sample size per variant for an A/B test that should detect a 5% relative lift in click-through rate. Baseline CTR is 2%, desired power is 80%, and alpha is 0.05. Describe the assumptions and the steps you use to compute the sample, and give the numeric approximation.
HardTechnical
30 practiced
Formally describe a decision framework that ranks candidate research methods by multiple criteria (time, cost, internal-validity, external-validity, sample-accessibility, and scalability). Propose how to quantify each criterion, combine them (e.g., weighted scoring, Pareto frontier), and show how you'd use the framework to choose between a diary study, a lab usability test, and a full-scale randomized rollout.
MediumTechnical
31 practiced
Design a mixed-methods study to evaluate user satisfaction with a new personalization algorithm rolled out to 5% of traffic. Describe: (1) the quantitative telemetry and survey instruments, (2) how you'll recruit and sample interviewees, (3) integration strategy to reconcile qualitative themes with cohort-level metrics, and (4) an analysis timeline aligned to a two-month rollout.
MediumSystem Design
39 practiced
Design a hybrid study that combines crowd-sourced remote usability testing with a small lab-based eye-tracking study to evaluate an accessibility improvement in a web product. Describe recruitment targets, tasks, metrics (quantitative and qualitative), and how you would reconcile conflicting results between the two methods.
EasyTechnical
34 practiced
Describe the essential steps and goals of a small pilot test before a full-scale controlled experiment for a UX change in a production ML system. Include what you would test in the pilot (instrumentation, assumptions, UX flow), thresholds to proceed, and typical pitfalls caught by pilots.

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