Uber Product Design: Build an AI-Powered Product for Riders or Drivers
UberProduct Manager · OtherLast updated
An Uber product manager design prompt asking you to create an AI-powered product for a ride-sharing app. It tests how you choose a user segment and pain point across riders and drivers, justify why AI fits, handle marketplace side effects, and define metrics, experiments and risks.
You are interviewing for a product manager role at Uber. Design an AI-powered product for a ride-sharing app: choose who it serves and the problem it solves, describe the experience, and explain how you would judge whether it works.
Clarifying Questions
- Should the product live inside the existing rider or driver app, or can it be a separate product?
- Is the main goal more completed trips, lower cost to serve, or greater trust and safety?
- Which side of the marketplace is in scope: riders, drivers, or both?
- Are there limits on what drivers may interact with while driving that the design must respect?
Hints
Hint 1
Start from a marketplace problem: Pick one group on either side of the ride-sharing marketplace and one frustrating moment in their journey before thinking about models, then check whether a simpler, non-AI fix would solve it just as well.
Follow-up questions
- Users in the treatment group of a ride-sharing experiment compete with control users for the same trips. How would you design the experiment?
- How would you show that the AI adds value beyond a simple rule-based version?
- What would you do if the product improved outcomes for its users but made them worse for everyone else?
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