I talked about generative vs evaluative research and when I'd pick one over the other.
Frame your answer around a structured, iterative process that starts with defining the problem and ends with validating solutions, emphasizing collaboration with product and design. Highlight how you balance qualitative and quantitative methods to inform engineering decisions, and tie it back to Google's user-centric culture.
Pro tip: Show that you understand the trade-offs between research depth and engineering velocity, and mention how you've used lightweight research methods (e.g., surveys, analytics) to quickly validate assumptions without slowing down development.
Clarify the problem, target users, and what decisions the research will inform. Align with product managers and designers on key questions.
Select appropriate qualitative (interviews, usability tests) and quantitative (surveys, analytics) methods based on the goal and constraints.
Gather data, look for patterns, and synthesize insights. Involve cross-functional partners to ensure diverse perspectives.
Communicate actionable recommendations to the team and integrate insights into product decisions. Validate solutions with follow-up research.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.