The museum framing is clearly just a wrapper to see if you can diagnose a metrics drop and prioritize solutions without a tech product safety net.
Start by clarifying the goal and defining what 'engagement' means for a children's museum, then use data to identify where the drop is occurring (e.g., specific exhibits, age groups, or visit stages). Prioritize root causes through qualitative and quantitative research, and propose a testable solution with clear success metrics.
Pro tip: Frame your answer around the museum's dual customer—children and parents—and show how you'd balance their needs, since engagement ultimately depends on both having a great experience.
Ask clarifying questions to understand what 'engagement' means (e.g., repeat visits, time spent, member retention) and the museum's goals. Define the target audience and any constraints.
Analyze quantitative data (visitor frequency, dwell time per exhibit, demographics, NPS) to pinpoint where and for whom engagement is dropping. Segment by age, visit type, and seasonality.
Conduct qualitative research (parent interviews, on-site observations, staff feedback) to understand why engagement is down—e.g., outdated exhibits, poor flow, or competing attractions.
Brainstorm potential fixes (new exhibits, interactive tech, membership perks) and prioritize based on impact, effort, and alignment with museum mission. Consider quick wins and long-term bets.
Pilot the top solution with a small group, measure against predefined success metrics (e.g., repeat visit rate, dwell time), and iterate based on feedback before scaling.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.