Product design question
Design a baby sitting product.
- Meta
- Product design
- Medium
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Tests two-sided marketplace design for a high-trust, safety-critical category.
How to approach it
- Clarify the model: an on-demand or scheduled babysitter marketplace, similar to Care.com or UrbanSitter, connecting parents and vetted sitters.
- Segment on parents needing occasional evening or weekend sitters, the clearest recurring need, versus full-time nanny seekers.
- Identify the pain point: trust and safety verification is the top blocker, parents won't book an unknown sitter without background checks and reviews.
- Design the core flow: background-checked sitter profiles with reviews, in-app messaging, a booking calendar, and an in-app payment and rating system.
- Define success as repeat booking rate with the same sitter and parent-reported trust or safety satisfaction score.
What a strong answer includes
- Puts trust and safety verification first, correctly identifying it as the binding constraint for this category.
- Prioritizes repeat bookings with the same sitter as the real retention signal, since familiarity matters most to parents.
- Grounds the idea in existing real products, Care.com and UrbanSitter, to show market awareness.
Common mistakes
- Designing generic marketplace features without addressing background checks and safety as the core trust barrier.
- Measuring only total bookings instead of repeat-sitter retention, the stronger trust signal.
Likely follow-up questions
- How would you handle liability if something goes wrong during a sitting session?
- How would you verify background checks stay current 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