At DoorDash, you are the PM leading a 10-week launch readiness effort for a new courier incentive program intended to improve weekend delivery times in 8 major U.S. cities. The cross-functional team includes 4 engineers, 1 data scientist, 1 operations manager, 1 finance partner, and 1 marketing lead. The launch is urgent because the COO has committed to improving on-time delivery by the end of the quarter after two quarters of declining customer satisfaction.
Your data scientist's analysis shows that the COO's core belief is likely wrong: higher courier bonuses do improve courier supply, but in the last 6 pilots they did not materially improve on-time delivery in dense urban markets. Instead, the analysis suggests batching logic and merchant prep delays are the bigger drivers. The COO still wants to proceed with a full launch of the incentive program and has already mentioned it in the quarterly business review.
The COO wants a visible, fast launch tied to a public operating goal. Finance wants proof that the program can stay within budget. Operations wants fewer escalations from city managers. Engineering wants to avoid building a rushed incentive system if the root cause is elsewhere. City managers support anything that reduces late deliveries before a major holiday weekend.