DoorDash — Dasher & Logistics — Product Case Questions

Role context: Data Scientist, Dasher & Logistics Analytics · Est. study time: 35 min · 3 questions

How these map to the role

These are logistics cases: an ambiguous delivery/supply question you frame into metrics and a measurement, and a recommendation you defend. Two things recur — the objective is reliable on-time delivery at sustainable cost with adequate supply (not minimum time), and logistics changes interfere through shared Dasher supply, so you measure with switchbacks.

Each answer is a coaching walkthrough: a Sample answer (clarify → approach → a simulated back-and-forth → a clear call), then a Deep dive with illustrative example, then a Grading rubric.

Questions (3)

Late deliveries spiked in a market — what happened?Diagnose a problemMediumDid the new dispatch algorithm actually help?Measure impactHardShould you raise Dasher pay in a market?Launch or notHard