Product design question
Design a parking solution for Google Maps.
- Product design
- Easy
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What this question tests
Basic product design fundamentals within an existing platform's ecosystem, requiring the candidate to build on existing capabilities rather than propose something unrelated.
How to approach it
- Identify the core pain point: finding available, reasonably priced parking near a destination, and the anxiety of not knowing until arrival.
- Leverage Google Maps' existing strengths: real-time location data and destination-based routing, to surface nearby parking options during navigation, not as a separate app.
- Propose the feature: real-time parking availability and estimated price shown alongside the destination during active navigation, sourced from parking-operator partnerships and crowd-sourced data.
- Address monetization: a booking or reservation fee for pre-booked spots through partner parking operators, consistent with how Google monetizes other local/business integrations.
- Define success as percent of navigations to dense areas that result in a parking search or booking, and time saved finding parking as a self-reported proxy.
What a strong answer includes
- Builds the feature naturally into Maps' existing navigation flow rather than proposing a disconnected standalone app.
- Names a concrete data source, partner operators plus crowd-sourcing, addressing the hardest part of this problem, data availability.
- Ties monetization to a model consistent with how Google already monetizes local business integrations.
Common mistakes
- Designing a standalone parking app disconnected from Maps' existing navigation context, missing the platform's real advantage.
- No credible answer for where the real-time parking data would come from, the hardest part of this problem.
Likely follow-up questions
- How would you get parking data in cities where operators aren't digitized?
- How would you handle the accuracy risk of showing 'available' parking that's actually full by the time the driver arrives?
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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