Product design question
Design a feature to help users find local services on Facebook.
- Meta
- Product design
- Easy
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What this question tests
Basic product design leveraging Facebook's existing social graph and local business presence for a discovery use case.
How to approach it
- Define the user: someone looking for a trusted local service and wanting recommendations from people they know, not strangers online.
- Identify Facebook's advantage: existing local business Pages, neighborhood Groups, and a social graph showing which friends have used a service.
- Propose a local services search that surfaces businesses recommended by friends or active in relevant Groups, ranked by social proof.
- Add a request flow letting users post a need to their network or a local Group and get responses aggregated in one place.
- Define success: request to booking or contact conversion rate, and repeat usage for future local needs.
What a strong answer includes
- Leverages Facebook's actual differentiator, the social graph and local Groups, rather than building a generic directory clone.
- Uses social proof as the core ranking signal, which competitors without a social graph cannot replicate.
- Proposes aggregating scattered Group post requests into one structured flow, solving a real observable pain point.
Common mistakes
- Designing a generic local search or directory feature with no use of Facebook's social graph advantage.
- Ignoring that this behavior already happens informally in Groups, missing a chance to formalize and improve it.
Likely follow-up questions
- How would you handle fake or paid recommendations gaming the social proof signal?
- How would you monetize this without alienating users who came for organic recommendations?
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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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop