Product design question
How would you increase "Find Lost Item" feature usage in Uber?
- Helpshift
- Product design
- Medium
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 sense for a low frequency, high frustration feature, requiring discoverability and trust fixes rather than a redesign.
How to approach it
- Identify why usage is low: users do not know the feature exists until the rare moment they need it, and trust it will work is low.
- Propose surfacing it proactively with an automatic prompt after a trip ends, asking if anything was left behind.
- Address the trust gap by showing expected response time and connecting directly to the driver via masked contact.
- Consider a lost and found status tracker so users see progress instead of silence after submitting a claim.
- Define success: claims submitted per 1000 eligible trips, and resolution rate within 24 hours.
What a strong answer includes
- Diagnoses the real problem as discoverability and trust, not feature capability.
- Proposes a proactive post trip prompt instead of relying on users to find a buried menu item.
- Uses a resolution focused metric since usage alone does not capture whether the feature actually helps.
Common mistakes
- Assuming the fix is more awareness alone without fixing the underlying trust or speed problem.
- Measuring only clicks into the feature instead of successful item recovery.
Likely follow-up questions
- How would you reduce false claims or abuse of the direct driver contact?
- What would you do if drivers stopped responding to lost item requests?
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More questions from Helpshift
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