DoorDash Domain Knowledge & Interest Questions
Domain knowledge about DoorDash as an on-demand delivery marketplace, including how the platform handles order routing, courier (delivery partner) management, merchant/restaurant relationships, pricing and incentives, demand forecasting, fulfillment operations, and competitive positioning. Covers product and operations considerations unique to DoorDash, regulatory/compliance aspects, and strategic implications for marketplace design, growth, and user experience.
MediumTechnical
41 practiced
Summarize the regulatory implications of classifying couriers as independent contractors versus employees in the U.S. From the perspective of Revenue Operations, what operational controls, reporting, and data would you implement to mitigate legal and financial risk while maintaining marketplace flexibility?
HardTechnical
52 practiced
Aggressive courier incentives drive short-term acceptance rate gains but may attract couriers with low long-term retention. Design a modeling and experimentation strategy to quantify how different incentive strategies affect long-term carrier retention, marketplace quality, and unit economics. Include metrics, experiment design, statistical considerations, and how to estimate lifetime impact.
MediumTechnical
48 practiced
Using standard SQL and the schema provided, write a query to compute 6-month cohort LTV for customers who first ordered in a given month, comparing cohorts who used a promo in their first 30 days against those who did not. Assume tables: customers(customer_id, signup_date), orders(order_id, customer_id, order_date, total_amount, promo_code), refunds(order_id, refund_amount). Explain assumptions and how you handle refunds and varying cohort sizes.
MediumTechnical
42 practiced
How would you adjust demand forecasting and courier incentives for DoorDash during known peak events (e.g., major sports finals, severe weather) to maintain service levels and revenue? Describe pre-event planning, dynamic real-time signals you would monitor, incentive allocation rules, and post-event analysis to inform future planning.
HardSystem Design
44 practiced
Design a KPI taxonomy and instrumentation plan to detect marketplace imbalance early (e.g., supply shortages, demand spikes, rising cancellations). For each KPI include a precise definition, threshold logic for alerting, aggregation granularity, dashboard visualization, and the playbook for triage and escalation.
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