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User Research Methods and Execution Questions

Covers end to end planning, design, and operationalization of user research studies and the concrete skills needed to collect and analyze user data. Candidates should be able to define research goals and hypotheses tied to product or business objectives; select appropriate qualitative and quantitative methods such as user interviews, contextual inquiry, diary studies, ethnographic observation, moderated and unmoderated usability testing, prototype testing, card sorting, surveys, cohort and analytics analysis, heatmap and session recording review; design screening criteria and sample size and recruitment strategies; create moderation guides, scripts, and test tasks; run studies in person and remotely; capture, transcribe, and code observations; apply analysis techniques such as thematic coding, affinity mapping, triangulation, and basic statistical checks; synthesize findings into artifacts such as personas, user journeys, jobs to be done, pain points, and prioritized recommendations; surface limitations and bias and validate findings; practice ethical research including informed consent and data privacy; and manage operational constraints such as timeline, budget, and participant access. For senior candidates include designing research strategies, defining appropriate power and sampling trade offs, creating reproducible study templates and processes, mentoring others, and describing how research choices and analysis techniques informed product or documentation decisions.

HardTechnical
44 practiced
Propose a set of UX metrics that can be instrumented and tracked on dashboards (for example: task success rate, time-on-task, drop-off per step, SUS over cohorts). For each metric explain precise event definitions, sampling strategy (full logging vs sampled sessions), and validation steps to ensure the metric reflects real user experience.
HardTechnical
34 practiced
You have conflicting evidence: in-depth customer interviews indicate strong demand for a new premium feature, but market research and pricing studies indicate low willingness-to-pay. Propose a hierarchical decision framework that includes exploratory experiments, MVP pricing tests, pilot releases, and clear stop/go criteria to decide whether to invest in full product development.
MediumSystem Design
43 practiced
Design a mixed-methods study to understand why a SaaS product is experiencing declining retention among trial users. Outline objectives, qualitative and quantitative methods, sample sizes, timelines, recruitment approach, success criteria, and deliverables for engineering and product teams.
EasyTechnical
37 practiced
Design a short diary study to understand weekly habits of freelance designers using a marketplace. Specify participant tasks or prompts, frequency of check-ins, data capture methods (text, photos, short videos), incentive structure, and an analysis plan for daily versus weekly entries.
EasyTechnical
34 practiced
Explain thematic coding and affinity mapping for qualitative data analysis. Describe the steps from raw transcripts to themes and show how you would document, validate, and present themes to stakeholders.

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