Airport pickup wait times feel worse: what do you measure?
Uber redesigned airport pickups with a digital queue for drivers. Riders say waits feel longer. Which metrics would you use to decide whether the redesign worked?
Context
Drivers wait in a holding lot and are dispatched in order. The redesign aimed to make driver earnings fairer.
Clarifying questions to ask first
- Actual or perceived wait?
- Which airports and times?
How to approach it
- Both sides: rider wait and driver fairness
- Perceived vs actual wait
- Supply in the lot by hour
- Trade-off and decision
Framework: Goal of the product -> Users and value exchange -> North Star -> Supporting metrics by funnel stage -> Guardrails and counter-metrics -> Decision or target
Sample answer
- P50 and P90 request-to-pickup time
- Driver earnings per hour in the airport queue
- Rider cancellations after match
- P50 wait is unchanged at 7 minutes; P90 rose from 14 to 21 minutes
- The P90 rise happens 11pm to 2am when few drivers are in the lot
- Driver earnings per hour at airports rose 9% and queue-jumping complaints fell 70%
Keep the queue: it fixed driver fairness and median waits held. Fix the late-night P90 problem with targeted supply incentives. Measure P90 wait by hour as the primary rider metric, with driver earnings per hour as the guardrail.
What interviewers look for
- Rider request-to-pickup time
- Driver earnings per hour at airports
- Cancellation rate