Metrics question

As a PM for Uber, how will you help riders from forgetting their phone in Uber?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Whether you can diagnose a real user pain point and design a targeted, low-friction intervention.

Clarify the problem: riders forgetting phones likely happens most at the end of a ride, distracted by exiting the car.
Segment: identify high-risk trip patterns, like late-night rides or rides with multiple stops, where distraction is higher.
Propose a lightweight intervention: a Bluetooth-based proximity check or an end-of-ride reminder prompt before the driver departs.
Weigh tradeoffs: false positive reminders annoying every rider versus missing genuine cases.
Pilot the feature in a segment with the highest forgotten-item complaint rate before full rollout.
Success metric: reduction in forgotten-phone support tickets per 1000 rides in the pilot market.

Grounds the design in a specific moment of risk, the distracted exit at ride end, rather than a generic reminder everywhere.
Proposes a concrete low-friction mechanism, like a Bluetooth proximity check between phone and driver app, rather than requiring manual rider action.
Sets a measurable pilot metric, forgotten-item tickets per 1000 rides, to validate before full rollout.

Proposing a reminder for every single ride with no consideration of alert fatigue.
No specific mechanism for how the app would even detect a forgotten phone.
No pilot or measurement plan before full rollout.

How would you handle false positives that annoy riders who did not forget anything?
What would you do if the pilot showed low impact on ticket volume?