Product design question
Facebook wants to get into the food delivery business. How would you do it?
- Meta
- Product design
- Hard
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What this question tests
Judgment on whether and how to enter a mature, low-margin market using existing platform assets rather than building from scratch.
How to approach it
- Question the premise first: food delivery is a low-margin, logistics-heavy business unlike the company's core software and ads model.
- Identify the company's real assets: massive local business Pages, Groups, and existing ad relationships with restaurants.
- Propose a lighter-weight option: an ordering and discovery layer integrated into existing local Pages and Marketplace, aggregating existing delivery providers rather than building an in-house fleet.
- Reject building in-house logistics, which requires a fleet and driver network the company has no experience operating and is capital-intensive.
- Propose monetization: ad placements for restaurants and a referral fee for orders routed to delivery partners.
- Define success as order volume routed through the platform and incremental ad revenue from local restaurant advertisers.
What a strong answer includes
- Explicitly pushes back on the 'own delivery fleet' framing given the real lack of logistics competency, showing strategic judgment.
- Proposes a realistic, asset-leveraging path, an aggregator on top of Pages and Marketplace, rather than an implausible full build.
- Names a concrete monetization model, referral fee plus local ads, tied to the company's actual ad business strength.
Common mistakes
- Proposing the company build its own delivery fleet, ignoring the vast operational gap versus its actual capabilities.
- Ignoring that this market is already saturated with entrenched, low-margin competitors.
Likely follow-up questions
- Would you partner with an existing player or build independently?
- How would you avoid channel conflict with delivery partners who are also ad customers?
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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