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
48 practiced
A merchant requests a contractual SLA guaranteeing a maximum delivery time. What operational, technical, and commercial considerations would you evaluate before agreeing? Propose SLA terms you might accept or decline, explain how you would monitor compliance, and suggest remediation mechanisms for breaches.
HardTechnical
55 practiced
You need to provide neighborhood-level demand forecasts to inform courier staffing and merchant prep recommendations. As a CSM working with Data Science, list the necessary data inputs, propose modeling approaches (statistical vs machine learning), key features, evaluation metrics, and explain how you would operationalize the forecasts so merchants and local ops can act on them.
MediumTechnical
60 practiced
Using SQL (any dialect), write a query that calculates a merchant's 30-day retention rate for customers. You have the table orders(order_id, customer_id, merchant_id, created_at). Define 'retained' as a customer who places at least one order within 30 days after their first order with that merchant in a given month. Provide the SQL query and briefly explain your approach.
MediumTechnical
57 practiced
Describe a repeatable process you would use to collect, prioritize, and escalate merchant feedback about a recurring product issue (for example, an intermittent order acceptance bug). Include how you would gather evidence, prioritize against other product requests, measure impact, and communicate status back to affected merchants.
HardTechnical
56 practiced
Design an experimental framework for testing changes to merchant fee structures that preserves merchant trust while measuring causal impact on order volume and retention. Address the unit of randomization (store, market, cluster), required sample size considerations, primary and secondary metrics, experiment duration, risk mitigation measures, and stakeholder communication strategy.
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