Product design question
How will be deisgn food delivery system for google?
- Product design
- Medium
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What this question tests
Product design for entering a business area adjacent to a company's existing local-search and discovery assets.
How to approach it
- Clarify scope: likely leveraging existing Maps and Search infrastructure rather than building a standalone delivery brand from scratch.
- Identify the real asset: massive local restaurant data and high-intent local search traffic, like 'food near me' queries.
- Prioritize an aggregator and discovery layer over building an in-house delivery fleet, since logistics isn't the company's competency.
- Propose an 'Order food' action directly from Search or Maps results, routing orders to existing delivery partners or a restaurant's own delivery.
- Monetize via referral fees or ads from restaurants and delivery partners wanting placement in high-intent search results.
- Define success as order conversion rate from Search or Maps food queries and partner-attributed order volume.
What a strong answer includes
- Leverages the company's actual structural advantage, Search and Maps intent and local business data, instead of proposing a driver fleet from scratch.
- Explicitly rejects owning logistics, a deliberate, defensible strategic choice given the company's real competencies.
- Names a concrete monetization mechanism, referral fees and ads, consistent with the company's existing ads-driven business model.
Common mistakes
- Proposing the company build an entire delivery operation from scratch, ignoring the operational gap.
- Not leveraging the company's actual unique asset, Search and Maps intent, as the differentiator.
Likely follow-up questions
- How would you avoid conflict with delivery partners who are also ad customers?
- Why would a user order through this instead of going directly to a delivery app?
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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