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.
MediumSystem Design
0 practiced
Design a dynamic pricing engine that adjusts delivery fees in near-real-time for a single city with peak 10,000 concurrent orders and 20,000 active drivers. Describe the architecture (feature computation, decision service, scoring), data inputs, expected latencies for decisioning, experimentation hooks, and mechanisms to prevent unstable price oscillations.
MediumTechnical
0 practiced
Given rising per-order logistics costs in a mid-size market, propose three technical levers a Solutions Architect could pull to reduce costs by 10% without degrading customer experience. For each lever describe the implementation approach, required telemetry, and possible business or operational risks.
MediumTechnical
0 practiced
Explain how you would design a combined system that supports both surge pricing and driver incentive bonuses without double-counting payouts or confusing drivers and customers. Address the telemetry to capture, UI messaging requirements, the canonical payout calculation pipeline, and edge cases such as overlapping promotions and mid-trip re-pricing.
HardTechnical
0 practiced
Create a technical due-diligence checklist and a red-flag list for onboarding a large restaurant chain or logistics provider as a DoorDash partner. Cover areas such as API readiness, throughput capacity, security posture, data quality, operational capacity, error handling, and contractual SLAs you would require before integration.
HardTechnical
0 practiced
The CFO demands a 15% margin improvement in 90 days while Sales requests aggressive subsidies and promotions to hit growth targets. As a Solutions Architect, propose a prioritized roadmap of technical and operational interventions (quick wins, medium-term, long-term), estimate expected impacts and risks for each, and explain how you would measure success and report progress to stakeholders.
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