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)
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.
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.
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.
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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