Strategy question
Should Facebook allow political ads?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Ability to reason through a genuine policy trade-off with business, societal, and reputational dimensions, landing on a defensible recommendation.
How to approach it
- Frame both sides: political ad revenue and free expression versus misinformation risk and regulatory exposure.
- Identify who is affected: advertisers, users exposed to targeted content, and society through election integrity.
- Weigh political ad revenue against Meta's total ad revenue, a genuinely small share, versus reputational and regulatory cost of getting it wrong.
- Consider a middle ground: allow political ads with stricter fact-checking, spend transparency, and narrower targeting limits, not a binary ban.
- Land on a specific recommendation and name the signal that would make you revisit it, like a spike in verified misinformation complaints.
What a strong answer includes
- Quantifies that political ads are a small fraction of ad revenue, so the decision should weight reputational risk heavily.
- Proposes a concrete middle path, transparency plus targeting limits, showing more sophisticated judgment than a binary answer.
- Acknowledges the free-speech counterargument honestly rather than dismissing it.
Common mistakes
- Answering with only a personal opinion and no business or user reasoning behind it.
- Ignoring the revenue-versus-reputation trade-off, the crux of why this is hard for Meta specifically.
Likely follow-up questions
- How would you handle a borderline case, like an ad from a political action committee rather than a campaign?
- What would change your recommendation during an election year versus off-year?
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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