Introduction
The recent 15% drop in average order value for Meituan's food delivery service is a significant concern that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
To tackle this issue, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. This framework will ensure we thoroughly examine all potential factors contributing to the decline in average order value.
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 trends can significantly impact consumer behavior and spending patterns. Expected answer: No major holidays or events during this period. Impact on approach: If confirmed, we'll need to look deeper into internal factors or market changes.
Why it matters: Understanding which user groups are most impacted can help pinpoint the root cause and tailor solutions. Expected answer: The decline is more pronounced among younger users and in tier-1 cities. Impact on approach: This would lead us to investigate factors specifically affecting these demographics.
Why it matters: Product changes can have unintended consequences on user behavior and spending. Expected answer: A new UI was rolled out for the ordering process two weeks ago. Impact on approach: We'd need to closely examine the impact of this UI change on user behavior and order placement.
Why it matters: Competitive pressures can directly influence consumer spending and loyalty. Expected answer: A major competitor launched an aggressive discount campaign three weeks ago. Impact on approach: We'd need to assess our pricing strategy and value proposition in light of competitive actions.
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