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Product Management Root Cause Analysis Question: Investigating sudden increase in men's jeans returns for e-commerce fashion retailer

What's causing the sudden 30% increase in return rates for Zalando's men's jeans this month?

Data Analysis Problem-Solving Strategic Thinking E-commerce Fashion Retail Apparel
E-Commerce Data Analysis Root Cause Analysis Customer Satisfaction Product Quality

Introduction

The sudden 30% increase in return rates for Zalando's men's jeans this month is a critical issue that demands immediate attention. This unexpected spike in returns not only impacts customer satisfaction but also affects our bottom line and operational efficiency. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 factor at play. Has there been any significant change in weather patterns or seasonal trends that could affect men's jeans purchases and returns?

Why it matters: Seasonal changes can impact buying behavior and return rates. Expected answer: No significant seasonal changes noted. Impact on approach: If confirmed, we'll focus more on internal factors.

  • Considering the specificity of the issue, I'm wondering about recent changes to our men's jeans line. Have we introduced any new styles, materials, or sizing changes in the past month?

Why it matters: Product changes could directly impact fit and customer satisfaction. Expected answer: A new slim-fit line was introduced three weeks ago. Impact on approach: This could be a key factor to investigate further.

  • Given the magnitude of the increase, I'm curious about our return policy. Have there been any recent changes to our return policy or process that might make returns more appealing or easier for customers?

Why it matters: Policy changes can significantly impact return behavior. Expected answer: No recent changes to the return policy. Impact on approach: We'll focus more on product and customer experience factors.

  • Thinking about data integrity, I want to confirm our measurement methods. Has there been any change in how we track or calculate return rates in the past month?

Why it matters: Ensures we're dealing with a real issue, not a data anomaly. Expected answer: No changes in measurement methods. Impact on approach: Confirms the validity of the reported increase.

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