Problem Framing and Research Questions

Covers the end to end practice of uncovering, defining, and validating the true problem before designing solutions. Includes techniques for framing ambiguous challenges, performing root cause analysis, and translating business needs into clear problem statements and research objectives. Covers designing and prioritizing research activities including stakeholder and contextual interviews, user interviews, surveys, field research, observational studies, analytics review, competitive and market analysis, and selecting appropriate qualitative and quantitative methods and sample considerations. Emphasizes hypothesis driven research, rapid prototypes and experiments, ethical practice, and using analytics to validate insights. Describes how to set clear success criteria and key performance indicators, surface stakeholder assumptions and constraints, convert vague needs into testable research questions and hypotheses, and produce deliverables such as research plans, personas, user journeys, empathy maps, prioritized findings, and actionable recommendations that inform decisions and design goals.

HardTechnical

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Propose approaches to quantify and communicate uncertainty in qualitative research findings to senior leaders. Suggest practical rubrics or visualizations that combine qualitative frequency, corroborating quantitative signals, and potential business impact so leaders can prioritize with an appreciation of confidence levels.

HardTechnical

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As PM lead for accessibility, propose a research and validation plan for a major redesign to ensure screen-reader and keyboard users are not harmed. Include participant recruitment, test scripts, accessibility success criteria, compliance checkpoints, manual and automated testing, and release gating recommendations.

EasyTechnical

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List the ethical considerations a product manager must include when planning user research: consent, data minimization, privacy, vulnerable populations, incentives, confidentiality, and reporting. Give a short example for how each consideration might change an interview, a survey, or a usability test.

MediumTechnical

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You have two weeks to prioritize research activities for a new feature. Provide a pragmatic decision framework (e.g., risk reduction, speed, cost, evidence value) to choose between interviews, surveys, prototype tests, and data analysis. Then draft a sample 2-week schedule showing which activities run in parallel and why.

MediumTechnical

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Analytics show a 15% conversion drop at step 3 of a 5-step checkout. Outline a prioritized root-cause research plan that combines analytics, session replay, targeted user interviews, and quick A/B tests. For each activity give the expected time, required stakeholders, and the kind of signal that would indicate progress.

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