Strategy question
If engagement is up for Facebook Events but the news feed is down, what recommendation would you give to fix it?
- Meta
- Strategy
- Hard
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What this question tests
Diagnostic and strategic thinking: reconciling conflicting metric signals and proposing a grounded, testable recommendation.
How to approach it
- Clarify the metrics: Facebook Events engagement is up while overall News Feed engagement is down, and confirm the time window.
- Form hypotheses: Events growth could be cannibalizing feed time, or the feed decline could be unrelated, like a ranking or content-supply issue.
- Investigate the relationship: check if the users driving Events growth are the same users showing feed decline, to test the cannibalization hypothesis.
- Recommend an investigation path, like segmenting users by Events usage and comparing their feed engagement trend to non-Events users.
- Propose a next step based on findings, such as adjusting how Events surface in the feed if cannibalization is confirmed, or investigating feed ranking separately if not.
What a strong answer includes
- Doesn't jump to a fix before diagnosing whether the two trends are actually related, showing rigor.
- Proposes a specific, testable method (segment users by Events engagement, compare feed trends) rather than a vague 'look into it.'
- Considers alternative explanations beyond cannibalization, like a separate feed ranking regression.
- Frames the final recommendation as conditional on what the investigation reveals, not a premature fix.
Common mistakes
- Assuming cannibalization without any investigation to confirm the relationship.
- Proposing a fix immediately without diagnosing the root cause first.
- Treating the two metrics as definitely unrelated with no analysis to support that either.
Likely follow-up questions
- How would you determine if this is correlation or causation?
- What would you do if the two trends turn out to be unrelated?
- How would you communicate this finding and recommendation to leadership?
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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