Strategy question
Should Google build a food delivery app?
- Atlassian
- Strategy
- Hard
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
Strategic build versus avoid decision: weighing market attractiveness against the company's actual advantage and existing efforts.
How to approach it
- Assess the market: food delivery is large but low margin, and already dominated by DoorDash, Uber Eats, and Grubhub.
- Evaluate Google's actual advantage, likely Search, Maps, and local business data, rather than logistics or delivery fleet operations.
- Consider whether Google already partially competes here through Google Maps ordering integrations and Local Services Ads.
- Weigh the cost of building delivery logistics from scratch against partnering or deepening existing integrations.
- Give a clear recommendation, for example no standalone app, but continue deepening data and discovery partnerships with existing delivery players.
What a strong answer includes
- Gives a clear recommendation, likely against a standalone app, instead of listing considerations without deciding.
- Grounds the reasoning in Google's real advantage, discovery and local data, not logistics, which it lacks experience in.
- Proposes a concrete alternative, like deepening Maps integration with existing delivery apps, as a lower risk path to the same value.
Common mistakes
- Recommending a full standalone delivery app without acknowledging Google's lack of logistics experience.
- Ignoring that Google already competes indirectly through Maps and ads.
Likely follow-up questions
- What would change your recommendation if margins in food delivery improved?
- How would existing delivery partners react to a Google built 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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop