Strategy question
What are the trade offs with Facebook Stories usage going up and Facebook posts going down?
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What this question tests
Tests interpreting a behavioral content-format shift and its tradeoffs for engagement, monetization, and content ecosystem health.
How to approach it
- State the shift plainly: Stories usage rising while feed posts decline suggests users prefer lightweight, ephemeral sharing over permanent, curated posts.
- Lay out the upside: Stories lower the barrier to sharing, which can raise overall content volume and daily engagement frequency.
- Lay out the downside: Stories are harder to monetize per-impression than feed ads historically, and ephemeral content is less searchable/discoverable long-term.
- Consider the content ecosystem effect: less permanent posting could reduce the volume of shareable, algorithm-friendly content that feeds discovery surfaces.
- Recommend a response: invest in Stories ad formats to close the monetization gap rather than trying to reverse the format shift, since it reflects genuine user preference.
What a strong answer includes
- Frames this as a real strategic tradeoff (engagement frequency vs monetization and discoverability), not just a neutral observation.
- Uses an illustrative number, e.g. assume Stories ad revenue per impression is 30% lower than feed ads today, to quantify the monetization gap.
- Recommends adapting monetization to the trend rather than fighting user behavior, which is the more defensible strategic call.
- Notes the discoverability tradeoff, ephemeral content can't be searched or resurfaced later, which affects long-term platform value.
Common mistakes
- Describing the trend without analyzing its actual business and product tradeoffs.
- Recommending trying to push users back to feed posts without evidence that's realistic or desirable.
Likely follow-up questions
- How would you close the Stories monetization gap specifically?
- How would you measure whether declining feed posts is actually hurting overall platform health?
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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