Strategy question
What would you do if you were a head of product at Meta?
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Broad strategic thinking about a major company's priorities, tested as a hypothetical role-play.
How to approach it
- Clarify by focusing on one business line rather than trying to cover the whole company.
- Assess the current position: strong in social and messaging, an unprofitable long-term bet elsewhere, growing pressure from AI-native competitors.
- Identify the top priority, e.g. embedding AI-driven personalization across the core apps to defend engagement and ad revenue.
- State an explicit tradeoff, e.g. deprioritizing part of a long-term bet's spend to fund near-term AI product work.
- Give one concrete first move, e.g. piloting an AI assistant integrated into a messaging product.
- Note how you'd measure whether the priority is working within a quarter or two.
What a strong answer includes
- Picks a specific business line to focus on rather than a vague answer covering the whole company.
- Names the real competitive pressure, AI-native apps, driving the strategic choice.
- States an explicit tradeoff being made, e.g. reallocating spend to fund AI product bets.
- Gives one concrete first initiative rather than a laundry list of ideas.
Common mistakes
- Trying to cover every product line superficially instead of picking a focus.
- Not naming a real tradeoff or resource reallocation, making the strategy sound costless.
Likely follow-up questions
- How would you justify this priority to the board given losses elsewhere in the company?
- What metric would tell you the strategy is working within two quarters?
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More questions from Google
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