Strategy question
Should Facebook get into the education space?
- Meta
- Strategy
- Hard
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What this question tests
Strategic fit assessment, weighing an adjacency opportunity against brand and trust risk, not a flat yes or no.
How to approach it
- Assess strategic fit: Facebook has real assets relevant to education, Groups, Messenger, Quest for immersive learning, but no core competency in curriculum or credentialing.
- Weigh the upside: a large addressable market and a chance to diversify beyond ads.
- Weigh the downside: parent and regulator trust in Meta around children's data is already fragile given known teen-safety scrutiny.
- Consider adjacent, lower-risk plays: enterprise or vocational training tools, or VR-based professional training via Quest, rather than K-12 curriculum.
- Recommend narrow, non-child-facing education adjacencies, enterprise and VR training, over a broad consumer education platform.
- Define success as enterprise or VR training revenue and usage, tracked separately from any consumer-facing risk exposure.
What a strong answer includes
- Explicitly separates low-risk adjacencies, enterprise or VR training, from high-risk ones, children's education, showing nuanced judgment rather than a blanket yes or no.
- Grounds the risk assessment in Meta's actual, well-known trust problem around youth safety.
- Names concrete existing assets, Quest and Workplace-style tools, rather than inventing an implausible new business line.
Common mistakes
- Giving a flat yes or no without distinguishing which segment of education, K-12 versus enterprise, is being discussed.
- Ignoring Meta's specific, real reputational risk with youth and data privacy.
Likely follow-up questions
- Which part of education, if any, would you greenlight first?
- How would you rebuild trust if targeting younger users?
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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