Product design question
How would you design at ETA system for Lyft drivers?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product design for a real time prediction system, balancing driver usability and technical accuracy.
How to approach it
- Clarify the goal: help drivers know accurate pickup and dropoff times to plan their next rides efficiently.
- Identify driver pain points: inaccurate ETAs cause wasted idle time and frustration from riders waiting too long.
- Prioritize accuracy of the underlying prediction model over UI polish, since trust depends on correctness.
- Propose showing a confidence range instead of a single number, and updating live as traffic conditions change.
- Add a feature for drivers to flag systematically wrong ETAs, feeding back into model improvement.
- Define success as reduction in ETA prediction error and driver reported satisfaction with trip planning.
What a strong answer includes
- Frames this primarily as a data and modeling problem, not just a UI display problem.
- Proposes showing a range instead of a false precise number, improving perceived trust even under uncertainty.
- Gives an illustrative number, e.g. assumes current error is plus or minus 5 minutes and targets plus or minus 2.
- Closes the loop with a driver feedback mechanism that improves the model over time.
Common mistakes
- Treating this as purely a UI design problem and ignoring the underlying prediction model quality.
- Showing a single falsely precise ETA instead of communicating uncertainty.
- No feedback loop to improve accuracy over time.
Likely follow-up questions
- What data would you use to improve ETA accuracy?
- How would you communicate uncertainty to drivers without confusing them?
- How would you measure success beyond raw accuracy?
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- Design a referral system for a grocery app.Google · Product design · Medium
- Give an example of a badly designed product.Adobe · Product design · Easy
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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