Introduction
The recent 20% decrease in average order value (AOV) for PhonePe's online shopping section is a significant concern that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the issue. We'll examine both internal and external factors, considering technical, user behavior, and market-related aspects to develop a comprehensive understanding of the problem.
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 shopping behavior. Expected answer: No major holidays or events during this period. Impact on approach: If confirmed, we'll focus more on internal factors.
Why it matters: Identifying specific affected segments can narrow down potential causes. Expected answer: The decrease is more pronounced in the 18-25 age group. Impact on approach: We'll investigate factors specifically affecting younger users.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in AOV calculation or tracking methods. Impact on approach: Confirms the issue is real, allowing us to focus on actual causes.
Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A new UI for product recommendations was implemented. Impact on approach: We'll investigate how this UI change might have affected purchasing decisions.
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