Product design question
How would you build Facebook Dating from 0-1?
- Meta
- Product design
- Hard
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What this question tests
Zero to one product thinking: defining a trustworthy dating product inside an existing social graph with sensitive privacy needs.
How to approach it
- Users: Facebook users seeking dating who want it kept separate from their main social circle.
- Pain points: existing dating apps lack the trust signal of a real, verified social identity, but users fear friends seeing their dating activity.
- Prioritize: build strict separation from the main Facebook profile and friend list as the first design principle.
- Solution: an opt-in separate dating profile using Facebook data for verification only, with friends explicitly excluded from matching by default.
- Go to market: launch in a limited market first to test trust and safety systems before wide rollout.
- Success metric: opt-in rate among target age segments, and match to conversation conversion, with safety incident rate as a guardrail.
What a strong answer includes
- Leads with the separation-from-friends design principle, the single biggest trust barrier for dating built on top of Facebook (common knowledge concern).
- Uses Facebook's real identity data as a trust and safety advantage over anonymous dating apps, a legitimate differentiator.
- Sets a guardrail metric, safety incidents per active user, appropriate for a sensitive product category.
Common mistakes
- Ignoring the privacy concern of friends discovering dating activity, the single biggest adoption blocker.
- No safety or verification consideration despite the sensitive product category.
- Treating this like a generic dating app with no tie to Facebook's actual identity advantage.
Likely follow-up questions
- How would you prevent a user's friends from ever seeing their dating profile by accident?
- Which market would you launch this in first and why?
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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