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Product Management Root Cause Analysis Question: Investigating sudden drop in average order value for an e-commerce platform

Asked at Jumia

15 mins

Why has the average order value for electronics on Jumia decreased by 20% this month compared to last?

Data Analysis Hypothesis Testing Strategic Thinking E-commerce Consumer Electronics Online Retail
E-Commerce Data Analysis Root Cause Analysis Recommendation Algorithms AOV Optimization

Introduction

The recent 20% decrease in average order value (AOV) for electronics on Jumia is a significant concern that requires immediate attention. As we analyze this product issue, I'll employ a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications for our business.

To tackle this problem, I'll start by asking clarifying questions, rule out basic external factors, and then dive deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and next steps. Throughout this process, I'll consider the broader impact on our product ecosystem and long-term strategy.

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 trend. Has this decrease coincided with any particular season or event?

Why it matters: Seasonal trends can significantly impact purchasing behavior. Expected answer: No specific seasonal trend identified. Impact on approach: If seasonal, we'd focus on year-over-year comparisons instead of month-to-month.

  • Considering user segments, I'm wondering if this decrease is uniform across all customer types. Have we seen any changes in the distribution of purchases between new and returning customers?

Why it matters: Different customer segments may be responding differently to recent changes or market conditions. Expected answer: The decrease is more pronounced among returning customers. Impact on approach: We'd investigate factors specifically affecting loyal customers' purchasing decisions.

  • Thinking about recent changes, have there been any significant updates to our product listings, pricing strategy, or user interface in the past month?

Why it matters: Internal changes could directly impact user behavior and purchasing decisions. Expected answer: A new recommendation algorithm was implemented two weeks ago. Impact on approach: We'd focus on analyzing the impact of this algorithm on user behavior and purchase patterns.

  • Considering market dynamics, has there been any notable shift in competitor pricing or promotions for similar electronics products?

Why it matters: Competitive pressures could be driving customers to make different purchasing decisions. Expected answer: No significant changes in competitor strategies observed. Impact on approach: We'd focus more on internal factors rather than market dynamics.

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