Should DoorDash prioritize faster delivery times or lower fees for customers?

Introduction

The trade-off between prioritizing faster delivery times or lower fees for customers is a critical decision for DoorDash's product strategy. This scenario involves balancing customer satisfaction, operational efficiency, and financial sustainability. I'll analyze this trade-off by examining its impact on various stakeholders, evaluating key metrics, and proposing an experimental approach to inform our decision.

Step 1

Clarifying Questions (3 minutes)

• Based on recent market trends, I'm thinking customer acquisition costs might be increasing. Could you share insights on our current customer acquisition and retention rates?

Why it matters: Helps determine if we should focus on attracting new customers or retaining existing ones. Expected answer: CAC is rising, retention stable but could improve. Impact on approach: Would lean towards lower fees if acquisition is challenging.

• Considering our operational model, I'm curious about our current delivery fleet utilization. What's our average delivery time, and how does it compare to competitors?

Why it matters: Indicates if there's room for improvement in delivery speed without significant cost increases. Expected answer: Average time is competitive but not industry-leading. Impact on approach: If utilization is low, faster delivery might be achievable without major investment.

• Looking at user behavior, I'm wondering about the correlation between delivery speed and order frequency. Do we have data on how delivery times impact customer ordering patterns?

Why it matters: Helps quantify the potential impact of faster deliveries on order volume and customer lifetime value. Expected answer: Moderate positive correlation between speed and order frequency. Impact on approach: Strong correlation would favor prioritizing speed.

• Regarding our technology infrastructure, I'm thinking about the scalability of our routing algorithms. How much improvement in delivery times could we achieve through optimization without adding drivers?

Why it matters: Determines if we can improve speed without significantly increasing costs. Expected answer: 10-15% improvement possible through algorithmic enhancements. Impact on approach: High potential for optimization would favor speed focus.

• Considering our financial goals, I'm curious about our current profit margins on deliveries. How much room do we have to reduce fees without compromising profitability?

Why it matters: Helps assess the feasibility and impact of lowering fees. Expected answer: Slim margins, limited room for fee reduction. Impact on approach: Tight margins would make fee reduction challenging without operational improvements.