Doordash Statistics & Math Interview Questions
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Design A/B Test to Evaluate Algorithm's Revenue Impact
A/B Test Design for a New Recommendation Algorithm Context You are evaluating a new recommendation algorithm in a consumer marketplace app (e.g., brow...
Quantify and Forecast DoorDash vs. In-Store Price Inflation
Scenario You are asked to compare price inflation on the DoorDash platform versus in-store menu prices over time for the same merchants and items. The...
Define and compute surge pricing metrics
Surge Pricing Metrics, Formulas, and Causal Estimation You are evaluating surge pricing in a two-sided marketplace (customers place requests; drivers/...
Define and compute retention and churn precisely
Retention and Churn for a Transactional Consumer App Context: You are analyzing retention and churn for a transactional consumer app (e.g., food deliv...
Calculate power and test duration
A/B Test Sizing: Reducing Cold-Food Complaint Rate You are running an A/B test of thermal delivery bags aiming to reduce the cold-food complaint rate....
Compute power and interpret guardrails
Context You ran a 1-week A/B test of a new search ranking with clustered randomization at the DMA level: 100 DMAs total (50 control, 50 treatment). Ou...
Forecast and Analyze DoorDash Menu Price Inflation Gap
Scenario DoorDash seeks to quantify and forecast the “inflation gap”: the difference between on-platform menu prices and in-store prices for the same ...