User Understanding and Empathy Questions

Focuses on the ability to deeply understand users, build empathy across teams, and ensure user needs drive product decisions. Topics include user research methods such as interviews, surveys, observation, usability testing, and analysis; creation and use of artifacts like personas, user journey maps, empathy maps, and problem framing; synthesizing insights into actionable requirements; and communicating user needs compellingly to influence stakeholders. Candidates should provide examples of how they brought users into design conversations, prioritized user pain points, and measured impact on user experience. Senior candidates should show how they fostered a user centered culture and scaled research and empathy practices across teams.

MediumTechnical

63 practiced

Design a short survey targeted at power users to identify the top drivers of their satisfaction and willingness to pay. Include question examples (Likert, open text), a sampling plan for who to target, and an analysis plan to translate responses into product decisions.

EasyTechnical

113 practiced

You need to interview customers to understand why they are not adopting a new feature. Write five open-ended interview questions (no leading questions), two screening questions to recruit participants, and explain the reason behind each question.

EasyTechnical

68 practiced

Describe three concrete ways you would bring users into day-to-day design conversations within a product team (e.g., design crits, shadowing, demo days). For each, detail frequency, expected participant roles, and how you'd measure whether the tactic increased team empathy.

MediumTechnical

83 practiced

Describe how you would build personas from mixed qualitative interviews and quantitative product usage data. Provide a step-by-step approach for combining sources, choosing dimensions for segmentation, validating the personas, and common pitfalls to avoid.

HardTechnical

67 practiced

You are a staff-level PM asked to allocate scarce research resources across three product lines. Propose a transparent prioritization rubric or algorithm that determines how many research hours or studies each product line receives. Include inputs (business impact, risk, unknowns), weighting logic, how you'd gather the inputs, and how you'd communicate the allocation decisions.

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