Strategy question
If you were the product leader responsible for Facebook search globally, how would you create a 5-year vision and strategy?
- Meta
- Strategy
- Hard
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What this question tests
Whether you can build a long-term strategic vision grounded in real technology shifts and the company's specific advantage.
How to approach it
- Clarify scope: search within Meta's apps, like Facebook and Instagram, versus a broader search product competing with Google.
- Assess the current position: Meta's search today is mostly limited to in-app content, not the open web, which shapes what's realistic.
- Identify the technology shift to build around: AI-powered conversational search layered on top of Meta's massive social content and graph.
- Propose a vision: search that understands social context, like finding what friends recommend, not just generic web results.
- Address competitive reality: this vision should lean into Meta's unique advantage, the social graph, rather than competing head-on with Google's web index.
- Define how you'd sequence the 5-year plan: start with AI-assisted search inside one app, expand cross-app, then layer in social-context ranking.
What a strong answer includes
- Anchors the vision in Meta's actual advantage, the social graph, rather than proposing a generic Google competitor.
- Sequences the 5-year plan into concrete phases instead of describing only an end-state vision.
- Names the specific technology enabler, conversational AI search, driving why this is possible now versus 5 years ago.
- Acknowledges the competitive reality honestly, that out-competing Google's web index directly is not realistic.
Common mistakes
- Proposing a vision that just tries to rebuild Google Search without leveraging Meta's actual unique data advantage.
- Describing only an end-state vision with no phased plan for how to get there over 5 years.
Likely follow-up questions
- What would the first concrete milestone look like in year one?
- How would you measure whether this search strategy is working versus just adding features?
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More questions from Meta
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