Doordash Statistics & Math Interview Questions
Practice the exact questions companies are asking right now.
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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...
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...
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....
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...
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...
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 ...