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

“Matching platform” means the feature of Uber RideShare which match Drivers and Riders when Riders make a booking

UberX is the standard of Uber Rider Share

“Describe and assess” means how to measure the success of the feature

Match drivers and riders based on

• Distance

• Availability

• Ride density of driver

Increase user satisfaction

User = Rider

Before matching

• Riders dind and pick a destination and pick up location on the mobile app

• Riders request a ride

While matching

• System finds a driver to match with the booking

• Riders wait until driver accepts the request

After matching

• Riders receive confirmation from system and drivers

• Driver drives to pick up riders

Before matching

• Ratio of Demand (Riders) / Supply (UberX drivers)

• # of zeros (no available UberX drivers nearby when opening apps)

• Avg time before booking

While matching

• Avg matching time

• # and % of successful booking at the 1st, 2nd, 3rd, …., nth time

• # of drivers’ decline per booking

After matching

• Avg waiting to be picked up

• Avg distance from driver to rider

• Rider satisfaction rate

• Driver satisfaction rate

Criterias to evaluate

• Impact to our goal (Increase Rider satisfaction)

• Complexity to measure

• Risk (is it easy to be skew?)

Before matching

• Ratio of Demand / Supply => Medium / Low / Low

• # of zeros (no drivers nearby) => High / Low / Low

• Avg time before booking => Low / Low / Low

While matching

• Avg matching time => Extremely High / Low / Low

• # and % of successful booking at the 1st, 2nd, 3rd time, …. => High / Low / Low

• # of drivers’ decline per booking => High / Low / Low

After matching

• Avg waiting to be picked up => Medium / Low / Low

• Avg distance from driver to rider => Low / Low / Low

• Rider Satisfaction rate => Medium / Medium / High

• Driver Satisfaction rate => Medium / Medium / High

# of zeros

Avg matching time (North star metrics)

# and % of successful booking at the 1st, 2nd, 3rd time, …

# of drivers’ decline per booking