##### Scenario DoorDash sees a 10% drop in the number of completed deliveries in Los Angeles week-over-week. ##### Question How would you identify, attribute, and quantify the key drivers behind the 10% delivery decline in LA? 1. List the potential root causes and propose testable hypotheses across the supply, demand, merchant, product, external, and measurement dimensions. 2. Outline an analytical plan to test each hypothesis — the data you would examine, the segmentation/cuts you would apply, and the method you would use. 3. Quantify and attribute the −10% to its contributing drivers (e.g., via funnel/marketplace decomposition). 4. If controlled experiments (A/B tests) are infeasible, describe the alternative approaches you would use to establish causal inference and validate your findings. ##### Hints Think funnel analysis, supply vs. demand decomposition, segmentation by time/location/cohort, seasonality, competitor impact, and synthetic-control or time-series causal methods (DiD, BSTS/CausalImpact, event study, IV).