DoorDash Business Model & Trade-offs Questions
Analysis of DoorDash's business model within a platform-based marketplace context, including revenue streams (delivery fees, commissions, subscription), cost structure (logistics, driver incentives), partnerships, pricing strategies, market expansion decisions, and the strategic trade-offs between growth, profitability, and delivering value to customers.
HardTechnical
43 practiced
Write a SQL query to detect potentially fraudulent orders or drivers gaming incentives. Given tables orders(order_id, user_id, created_at, total_amount, location), deliveries(delivery_id, order_id, driver_id, pickup_at, dropoff_at, distance_miles), and incentives(incentive_id, driver_id, awarded_amount, awarded_at), produce a query that flags suspicious patterns such as very short delivery distances with high incentive payouts or unusually high incentive frequency per driver in a short period.
MediumTechnical
43 practiced
Describe strategies you would use to handle seasonality when analyzing weekly orders and GMV for DoorDash. Provide concrete methods (statistical or rule-based) you would apply, how you'd detect seasonal patterns, and how you'd adjust anomaly detection to avoid false positives during known seasonal events (holidays, major sports events).
HardTechnical
75 practiced
You want to establish whether driver incentives increase completed order volume or merely attract more drivers (supply-side effect). Outline a causal analysis plan describing experimental design (if possible), instrumental variable options, necessary data, and statistical tests you would use to distinguish demand vs supply effects.
HardTechnical
53 practiced
Design the architecture for a forecasting pipeline that predicts GMV 12 months ahead at city-level granularity. Describe feature selection (historical GMV, promotions, weather, macro indicators), model families you would consider, how you would evaluate model accuracy, and how BI would serve forecasts to stakeholders with uncertainty bounds.
MediumTechnical
44 practiced
You're asked to design a metric that reflects 'marketplace fairness' between restaurants and consumers on DoorDash. Propose 4 candidate metrics, explain why each captures fairness, what data is needed, and how BI could surface imbalances or trends over time.
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