Diagnosing and reversing a reported engagement decline at a children's museum
Company: Meta
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You lead product at a children's museum, and you keep hearing that engagement is down. What would you do about it?
```hint Turn feedback into a measurement
Before suggesting any fix, decide what "engagement" should mean for a museum whose visitors are children brought by adults, and how you would confirm that the feedback reflects a real change.
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### Clarifying Questions
- Where is the feedback coming from: floor staff and educators, visitor surveys, members, the board, or a dashboard?
- Does "engagement" here mean attendance, how long children play at exhibits, repeat visits and memberships, or use of digital channels such as the website?
- Which visitors are in scope: walk-in families, members, school field trips, birthday parties, or all of them?
- Since when has it been down, and compared with what baseline?
### What a Strong Answer Covers
- A definition of engagement that fits a children's museum and its two audiences, the children and the adults who bring them
- Verifying that the decline is real before acting on it
- A structured diagnosis that segments the drop and works through likely causes in a deliberate order
- Fixes matched to the confirmed cause, prioritized and tested cheaply before large investments
- Success metrics with guardrails that protect safety, revenue and the museum's educational mission
### Follow-up Questions
- Attendance is flat, but time spent inside per visit has dropped. What do you look at next?
- If the cause turns out to be a new attraction that opened nearby, what is still within your control?
- How would you test a new exhibit idea before committing the budget to build it?
Overview: A product analytics and execution prompt in which the candidate leads product at a children's museum and hears that engagement has dropped. It tests how they define engagement for children and caregivers, verify the decline, diagnose likely causes in a sensible order, and choose fixes they can measure.