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Product Management Root Cause Analysis Question: Investigating PhonePe's average order value decrease in online shopping

Why has the average order value for PhonePe's online shopping section decreased by 20% this month compared to last?

Data Analysis Problem-Solving Strategic Thinking Fintech E-commerce Digital Payments
Fintech Root Cause Analysis Payment Systems User Behavior E-Commerce Metrics

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)

  • Looking at the timing, I'm thinking there might be a seasonal effect. Has this decrease coincided with any major holidays or shopping events?

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.

  • Considering user segments, I'm wondering if this decrease is uniform across all user groups. Have you noticed any particular user segments more affected than others?

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.

  • Given the specificity of the 20% decrease, I'm curious about our measurement accuracy. Has there been any recent change in how we calculate or track AOV?

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.

  • Thinking about recent changes, have there been any significant updates to the app or shopping section in the past month?

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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