Metrics question

What are your solutions to reduce the car cancellation rate on the Uber waiting page?

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What this question tests

Tests diagnosing and reducing cancellations during a specific high-anxiety moment in the ride flow, the waiting page.

How to approach it

  1. Clarify what's driving cancellations: long wait time, surge pricing surprise, driver behavior (wrong direction, no movement), or rider changing their mind.
  2. Segment cancellations by who cancels, rider or driver, since the fix differs; also segment by wait-time bucket.
  3. Propose rider-side fixes: more accurate live ETA, proactive notification if ETA worsens, and a one-tap reason survey on cancel to close the data loop.
  4. Propose driver-side fixes: better routing to reduce actual wait time, and reducing driver-side cancellations via incentive changes for long pickups.
  5. Define success as cancellation rate reduction segmented by cause, and completed-ride rate as the guardrail this shouldn't come at the cost of.

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