Investigate Declining Successful Orders

DoorDash observes that the number of **successful orders per day** in **Los Angeles** has declined over the last few weeks. Assume a successful order is one that is placed, paid for, accepted by the restaurant, assigned to a dasher, and delivered without cancellation. As a Data Scientist, explain how you would investigate this decline. Your answer should cover: 1. How you would clarify the metric definition, baseline, and key cuts of the data. 2. At least one plausible hypothesis from each side of the marketplace: **customer**, **dasher**, and **restaurant**. 3. If all three sides appear to contribute to the decline, how you would **quantify the impact** of each hypothesis on the overall metric drop. 4. How you would use a **funnel analysis** to diagnose the issue, including important stages, likely failure points, and segmentations. 5. One product or operational improvement you would propose, and how you would design an **A/B test** to evaluate it. Be explicit about the experiment unit, primary metric, guardrail metrics, and any marketplace interference concerns.