Product design question
Design a Google bicycle.
- Product design
- Medium
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What this question tests
Ability to define a coherent product concept and justify a company's entry into a new hardware category.
How to approach it
- Clarify why Google would build a bicycle: likely as a smart, connected mobility product tying into Maps navigation and sustainability goals.
- Define the user: urban commuters who want integrated navigation, safety alerts, and theft protection beyond what standard bikes or bike computers offer.
- Identify the core value proposition: seamless Google Maps integration for turn-by-turn cycling directions and real-time hazard alerts.
- Design key features: built-in GPS tracking for anti-theft, integrated lighting tied to ambient light sensors, and voice-guided navigation.
- Address the business model: hardware margin plus a services layer (theft recovery, premium navigation features).
- Define success metrics: units sold, navigation feature usage rate, and theft-recovery success rate.
What a strong answer includes
- Grounds the concept in Google's actual core strength, Maps and navigation data, rather than a generic 'smart bike' pitch.
- Proposes a concrete differentiator, integrated anti-theft GPS tracking, addressing a real, common bike-owner pain point.
- Gives an illustrative metric, e.g. 70% of riders using turn-by-turn navigation weekly, marked as an assumption.
- Names a plausible business model combining hardware margin and an optional premium service layer.
Common mistakes
- Designing a generic bicycle with no clear connection to Google's actual data or software strengths.
- Ignoring the business model question of how this makes sense for Google to build.
Likely follow-up questions
- Why would Google build this instead of partnering with an existing bike manufacturer?
- How would you price this to be competitive with existing smart bikes?
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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