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Company focus

Zalando

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

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking E-commerce Fashion Retail Online Apparel E-Commerce Data Analysis Root Cause Analysis Product Quality Customer Behavior
Product Management Root Cause Analysis Question: Investigating high return rates for men's jackets on Zalando

Introduction

The sudden 30% increase in return rates for men's jackets on Zalando this month is a critical issue that demands immediate attention. This unexpected spike could significantly impact customer satisfaction, inventory management, and overall profitability. 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 this could be a seasonal issue. Has there been any significant change in weather patterns compared to previous years?

Why it matters: Seasonal factors can greatly influence clothing returns. Expected answer: No unusual weather patterns observed. Impact on approach: If weather isn't a factor, we'll focus more on internal causes.

  • Considering potential system changes, have there been any recent updates to the product description or sizing information for men's jackets?

Why it matters: Inaccurate product information can lead to increased returns. Expected answer: Minor updates to product descriptions were made last month. Impact on approach: If confirmed, we'll investigate the impact of these changes on customer expectations.

  • Focusing on user segments, has there been a shift in the demographic of customers purchasing men's jackets recently?

Why it matters: Different customer segments may have varying expectations or return behaviors. Expected answer: No significant changes in customer demographics noted. Impact on approach: If demographics are stable, we'll look more closely at product or operational factors.

  • Thinking about potential technical issues, have there been any reports of problems with the size recommendation algorithm?

Why it matters: Faulty size recommendations could lead to ill-fitting purchases and subsequent returns. Expected answer: No known issues with the algorithm reported. Impact on approach: If confirmed, we'll shift focus to other potential causes like product quality or marketing strategies.

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Updated Nov 25, 2024