Strategy question
How would you turn Facebook Events around?
- Meta
- Strategy
- Hard
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What this question tests
Strategic turnaround thinking for a deprioritized product feature, diagnosing why it declined before proposing a fix.
How to approach it
- Diagnose why Facebook Events lost relevance: competition from dedicated platforms (Eventbrite, Partiful), reduced organic reach as Facebook shifted toward algorithmic content, and a shift of casual event coordination to group chats.
- Segment the remaining use cases where Events still has an edge: local community and public events benefiting from Facebook's existing social graph and discovery surface.
- Propose a focused turnaround: double down on local/public event discovery, integrating with Groups and Marketplace, rather than competing broadly with dedicated event platforms.
- Address the supply side: make event creation and promotion easier for local businesses and organizers, since supply drives the discovery flywheel.
- Define success as event RSVP-to-attendance conversion and organizer retention, with a guardrail on event spam/quality.
What a strong answer includes
- Diagnoses root causes of the decline before proposing a fix, rather than jumping straight to new features.
- Picks a specific defensible niche, local and public events, instead of trying to compete everywhere at once.
- Names both a demand-side metric (attendance conversion) and a supply-side metric (organizer retention), appropriate for a two-sided discovery product.
Common mistakes
- Proposing generic improvements like 'better UI' without diagnosing why usage actually declined.
- Ignoring the two-sided nature of Events, focusing only on attendees and not the organizers who create supply.
Likely follow-up questions
- How would you measure early signs that the turnaround is working within the first quarter?
- How would you prevent event spam from local businesses once you incentivize more listings?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop