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
0 practiced
Design and outline (pseudocode or Python) a training and inference pipeline for an ETA prediction model for DoorDash deliveries. Cover spatial-temporal feature engineering (pickup/dropoff coordinates, route distance, time-of-day, traffic signals), handling variable-length routes and intermediate stops, choice of model and loss function (consider quantile loss for uncertainty), evaluation metrics, and deployment considerations including low-latency inference and model versioning.
MediumTechnical
0 practiced
You're asked to implement a simulation to compute a dynamic surge multiplier that better matches driver supply to demand in a single city zone. Describe input assumptions (demand elasticity, driver elasticity, target wait time), algorithmic approach (grid search vs continuous optimization), provide pseudocode or Python outline for the simulation, and describe how you would validate outputs against historical data.
MediumTechnical
0 practiced
Build a plan for a model to predict customer churn within 90 days for DoorDash customers. Include how you would define the churn label and observation window, candidate features (frequency, recency, cuisine affinity, complaints), candidate modeling approaches, evaluation metrics (AUC, precision@k, calibration), and specific steps to avoid data leakage during feature generation.
MediumTechnical
0 practiced
Estimate the causal effect of DashPass subscription on average order frequency. Describe identification strategies you could use including randomized trials, difference-in-differences with matched controls, propensity score weighting, and instrumental variables. For each approach outline assumptions, required data, and practical threats to validity in DoorDash's environment.
HardTechnical
0 practiced
Discuss how potential regulatory changes such as reclassification of drivers from contractors to employees would impact DoorDash's unit economics, pricing levers, and expansion strategy. What data would you collect to quantify impacts (labor cost per order, hours, benefits), and how would you model policy scenarios and operational implications across cities with different regulations?
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