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Product Management Root Cause Analysis Question: Investigating Namshi's electronics average order value decline

Why has the average order value for electronics on Namshi declined by 20% this quarter compared to last?

Data Analysis Problem-Solving Strategic Thinking E-commerce Consumer Electronics Online Retail
Product Strategy E-Commerce Data Analysis Root Cause Analysis AOV Optimization

Introduction

The decline in average order value (AOV) for electronics on Namshi by 20% this quarter is a significant issue that requires thorough investigation. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions.

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 seasonal factors at play. Has this decline coincided with any particular season or event?

Why it matters: Seasonal trends can significantly impact purchasing behavior. Expected answer: It's not aligned with any specific seasonal event. Impact on approach: If seasonal, we'd focus on year-over-year comparisons instead of quarter-over-quarter.

  • Considering the specificity of the decline, I'm wondering about recent changes. Have there been any significant product updates or marketing campaigns in the last quarter?

Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A new product recommendation algorithm was implemented. Impact on approach: We'd need to analyze the algorithm's impact on product visibility and user choices.

  • Given the focus on electronics, I'm curious about the product mix. Has there been any shift in the types of electronics products being offered or promoted?

Why it matters: Changes in product mix can significantly affect AOV. Expected answer: No major changes in product offerings. Impact on approach: We'd need to look deeper into user behavior and external factors.

  • Thinking about data integrity, I want to confirm the consistency of our metrics. Has there been any change in how AOV is calculated or tracked?

Why it matters: Ensures we're comparing apples to apples across quarters. Expected answer: No changes in AOV calculation methods. Impact on approach: If changed, we'd need to recalculate past data for accurate comparison.

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