Product design question
Build a product for mentorship on Facebook.
- Meta
- Product design
- Medium
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What this question tests
Tests product design for a trust-dependent, structured social matching product: can you go beyond a generic Groups feature to something that actually facilitates meaningful mentor-mentee relationships.
How to approach it
- Clarify the user: people seeking career mentorship and experienced professionals willing to mentor, both already on Facebook but with no structured way to find each other.
- Identify the core pain point: unstructured Groups posts asking for mentors get lost and lack accountability, so intent rarely converts into an ongoing relationship.
- Design the core mechanism: a structured matching flow based on goals, industry, and availability, with a lightweight commitment structure like a suggested check-in cadence.
- Leverage Facebook's assets: professional signals in Groups and Pages activity to improve matching, and the social graph for trust signals like mutual connections.
- Address quality control: a rating and feedback system after sessions to maintain trust, plus light verification for mentors claiming expertise.
- Define success as matches still active after 60 days and mentee-reported goal progress, not just number of matches made.
What a strong answer includes
- Identifies the core problem as accountability and structure, not discovery, since unstructured mentorship requests already exist in Groups but rarely convert.
- Proposes a lightweight commitment mechanism, check-in cadence and goal tracking, that addresses why informal requests fizzle out.
- Leverages Facebook's actual existing signals for matching quality rather than building a disconnected new system.
- Picks a retention-based metric, matches active at 60 days, correctly capturing whether the relationship is working.
Common mistakes
- Designing essentially a directory or another Group type with no structured matching or accountability mechanism.
- Ignoring why informal mentorship requests already fail on the platform today, missing the actual root problem.
- Measuring success by matches made rather than sustained, active mentorship relationships.
Likely follow-up questions
- How would you verify a mentor's claimed expertise without creating too much onboarding friction?
- How would you handle a mismatched pairing that isn't working out?
- How would you keep mentors engaged and willing to take on new mentees over time?
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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