Metrics question

How would you describe and assess how the Uber Marketplace (the matching platform) is doing, for UberX?

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

Marketplace health analysis: assessing supply and demand balance for a specific product line.

Define marketplace health as balance: enough drivers to meet rider demand without excess idle driver time.
Propose a core metric, the ratio of completed trips to requested trips (match rate), specific to UberX.
Add a supply side metric: driver utilization, the percent of online time spent actually driving a rider.
Add a demand side metric: rider wait time from request to pickup, since long waits signal supply shortage.
Segment by geography and time of day, since a healthy national average can hide local imbalances during peak hours.
Tie these into a single dashboard reviewed by city, flagging markets where match rate or wait time breach a set threshold.

Defines marketplace health from both sides, supply utilization and demand wait time, not just one directional metric.
Explicitly segments by city and time of day, since national averages hide the local imbalances that actually matter operationally.
Gives an illustrative number, e.g. assumes a target match rate above 90 percent and wait time under 5 minutes as healthy.
Notes that surge pricing is itself a signal, since surge frequency reflects underlying supply demand imbalance.

Naming only one metric, such as total trips, which says nothing about marketplace balance or efficiency.
Ignoring geographic and time of day segmentation, missing local imbalances behind a healthy looking average.
Not connecting the metrics to any operational action, like driver incentives in undersupplied areas.

Chapters of the AI PM course that teach what this question tests.