Introduction
The recent 15% drop in average order value (AOV) for Delivery Hero's restaurant deliveries is a concerning trend that requires immediate attention. As we analyze this issue, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
I'll begin by clarifying key details, rule out external factors, and then dive deep into our product ecosystem and user journey. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement solutions.
Framework overview
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 changes can greatly impact ordering behavior. Expected answer: No significant seasonal changes. Impact on approach: If confirmed, we'll focus more on internal factors.
Why it matters: This helps us identify if it's a systemic issue or specific to certain user groups. Expected answer: The decrease is more pronounced in certain segments. Impact on approach: We'll prioritize investigating those specific segments.
Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A few minor updates, but nothing major. Impact on approach: We'll need to scrutinize even minor changes for potential impact.
Why it matters: Competitive actions could be drawing higher-value orders away. Expected answer: Some standard competitive activity, but nothing out of the ordinary. Impact on approach: We'll consider competitive factors but not as a primary focus.
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