Product design question
Design a product that prevents flat tires in cars.
- Product design
- Medium
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What this question tests
Product design for a hardware-adjacent problem, checking whether you can identify the real causes of flat tires and prioritize a solution that fits a realistic business model.
How to approach it
- Define the user: everyday drivers, distinguishing casual city drivers from long-haul or rural drivers with different puncture risk.
- Identify causes of flat tires: road debris punctures, slow air leaks going unnoticed, and tire aging, each requiring a different intervention.
- Prioritize slow leaks as the target, since undetected gradual pressure loss is the most common preventable cause of flats, unlike sudden punctures which are harder to prevent.
- Propose a solution: a low-cost tire pressure sensor with a connected app alerting drivers before pressure drops to a dangerous level, well before a puncture becomes a blowout.
- Consider a sealant-based backup for sudden punctures as a secondary layer, injected automatically on pressure loss detection.
- Define success as reduction in reported flat tire incidents among users and increased proactive tire maintenance actions taken after alerts.
What a strong answer includes
- Separates the causes of flat tires and picks the most preventable one, slow leaks, rather than trying to solve for all causes equally.
- Proposes a layered solution, early detection plus sealant backup, rather than a single silver-bullet fix.
- Ties success to a concrete behavior change, proactive maintenance after alerts, not just device sales.
Common mistakes
- Treating all flat tire causes the same instead of prioritizing the most preventable one.
- Proposing an expensive hardware solution with no consideration of cost or realistic adoption.
Likely follow-up questions
- How would you price this to drive mass adoption?
- How would you validate the sensor's accuracy before shipping at scale?
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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