Product design question
Design a product for food for Facebook.
- 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
Product design for a plausible new vertical that leverages the company's existing social graph rather than a generic clone.
How to approach it
- Clarify scope: assume a food-discovery or social dining feature, like group meal planning, distinct from delivery logistics.
- Identify the user need: deciding where or what to eat with friends and family is a frequent, often frustrating coordination problem.
- Prioritize the group decision-making pain point, a clear, frequent, and genuinely social use case.
- Propose a group poll and recommendation tool within Messenger or Groups, suggesting restaurants from members' past likes and check-ins with quick voting.
- Leverage the company's unique asset: existing Page reviews and check-ins data for restaurant recommendations that a standalone app lacks.
- Define success as completed group decisions per session and downstream restaurant Page engagement.
What a strong answer includes
- Picks a specific, socially-native use case, group decision-making, that plays to the platform's actual strength, not a generic food app.
- Leverages the platform's real existing asset, Page check-ins and reviews, as the data source.
- Ties success to downstream business Page engagement, connecting back to the local-business ad ecosystem.
Common mistakes
- Designing a generic food-delivery or recipe app disconnected from the platform's actual social-graph strength.
- Ignoring the tie-in to existing assets like Pages and Groups.
Likely follow-up questions
- How would you handle groups with very different food preferences?
- How would this connect to existing Marketplace or delivery partnerships?
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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