Strategy question
You're the PM for newsfeed and you have to decide whether to show more videos or more events. What do you do?
- Meta
- Strategy
- Hard
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What this question tests
Strategic trade off reasoning using data driven criteria rather than a personal preference.
How to approach it
- Define the decision criteria, which format drives more long term engagement and retention per unit of feed real estate used.
- Consider video's strength, typically drives higher immediate watch time and ad revenue potential.
- Consider events' strength, drives real world action and stronger habit formation tied to specific dates, building longer term platform relevance.
- Propose testing both via an A B test measuring downstream retention, not just immediate engagement, since video's high watch time could crowd out other valuable content.
- Make a conditional recommendation, leaning toward video for revenue focused quarters but events for retention focused quarters, and state which the company likely needs right now.
What a strong answer includes
- Frames this as a genuine trade off with different strengths, immediate engagement for video, longer term habit for events, rather than picking one as objectively better.
- Proposes a specific test design, holding out a control group from any feed real estate change and comparing 30 day retention, not just first week engagement.
- Gives a conditional recommendation tied to a stated business priority, showing judgment rather than indecision.
Common mistakes
- Picking one option with no reasoning about the trade off against the other.
- Only considering immediate engagement metrics and ignoring longer term retention effects.
- No test plan proposed to actually validate the decision before a full rollout.
Likely follow-up questions
- How would you weigh short term ad revenue against long term retention in this decision?
- What would change your recommendation after seeing the test results?
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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