Product design question
Design Uber for pets.
- Uber
- Product design
- Medium
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What this question tests
Product design for a niche on-demand service: adapting a known marketplace model to specific safety and trust requirements.
How to approach it
- Identify the user: pet owners needing transport for their pets, for example to the vet, groomer, or pet-friendly destinations, without driving themselves.
- Name pain points: not all rideshare drivers accept pets, and owners worry about their pet's safety and comfort with an unfamiliar driver.
- Design the core product: a driver pool specifically vetted and equipped for pet transport (secure crates, no strong scents, pet handling training).
- Add trust features: driver ratings specific to pet handling, and an option for the owner to ride along or not depending on the trip type.
- Prioritize driver vetting and safety features first, since a pet safety incident would be extremely damaging to trust in the product.
- Define success as completed pet-only trip volume and repeat usage rate among pet owners.
What a strong answer includes
- Leads with safety and driver vetting as the core design constraint, since pet transport carries real liability and trust risk beyond typical rideshare.
- Distinguishes owner-accompanied trips from pet-only trips (drop off and pick up at the vet), which need very different trust mechanisms.
- Proposes pet-specific driver ratings, not generic star ratings, to build a track record buyers can actually trust.
Common mistakes
- Treating this as a copy-paste of standard rideshare without addressing pet-specific safety and trust needs.
- Ignoring the liability question of what happens if a pet is injured or escapes during a solo trip.
Likely follow-up questions
- How would you handle liability if something happened to a pet during a solo trip?
- How would you recruit and vet enough pet-friendly drivers to make this viable?
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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