Introduction
The recent 15% decrease in average order value (AOV) for DoorDash's DashPass subscribers over the past month is a concerning trend that requires immediate attention. As we dive into this product issue, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
To tackle this challenge, I'll start by asking clarifying questions to ensure we have a comprehensive understanding of the situation. Then, we'll rule out basic external factors before delving into the product specifics, user journey, and metric breakdown. We'll gather and prioritize relevant data, form hypotheses, conduct root cause analysis, and finally propose validation methods and next steps.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain the decrease and impact our solution approach. Expected answer: Yes, it has been compared, and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year strategies; if not, we'd investigate recent changes.
Why it matters: Identifying specific affected segments could point to targeted issues or changes. Expected answer: The decrease varies among cohorts, with newer subscribers showing a larger drop. Impact on approach: We'd focus on recent changes that might disproportionately affect newer users.
Why it matters: Recent changes could directly correlate with the AOV decrease. Expected answer: Yes, there was a UI update and a change in the reward structure. Impact on approach: We'd investigate how these changes might have altered user behavior.
Why it matters: External market forces could be driving the AOV decrease. Expected answer: A new competitor entered with aggressive pricing in some markets. Impact on approach: We'd analyze our pricing and value proposition in affected markets.
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