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Product Management Root Cause Analysis Question: Investigating high return rates for Wayfair area rugs after website redesign
Image of author vinay

Vinay

Updated Dec 29, 2024

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How can we explain the unexpected 40% increase in return rates for Wayfair's area rugs since the new website redesign launched?

Data Analysis Problem Solving User Experience E-commerce Home Goods Furniture
E-Commerce Data Analysis Root Cause Analysis UX Design Customer Behavior

Introduction

The unexpected 40% increase in return rates for Wayfair's area rugs since the new website redesign launched is a critical issue that demands immediate attention. This surge 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 the redesign might have altered the product presentation. Has there been any change in how rug dimensions or textures are displayed on the product pages?

Why it matters: Visual representation directly impacts customer expectations. Expected answer: Yes, the redesign changed how product details are presented. Impact on approach: If confirmed, we'll focus on improving product visualization.

  • Considering user behavior, I'm curious about the checkout process. Has the redesign affected the ease of selecting rug sizes or customization options?

Why it matters: Complicated selection processes can lead to incorrect purchases. Expected answer: The checkout process was streamlined but some options were condensed. Impact on approach: We may need to reassess the balance between simplicity and detail in the purchase flow.

  • Thinking about data accuracy, I'm wondering if our return reason tracking has remained consistent. Have we maintained the same categorization for return reasons throughout this period?

Why it matters: Changes in tracking could skew our perception of the issue. Expected answer: Return reason categories have remained the same. Impact on approach: If unchanged, we can rely on this data for our analysis.

  • Considering external factors, I'm interested in recent marketing campaigns. Have we run any promotions that might have attracted a different customer segment since the redesign?

Why it matters: New customer segments might have different expectations or behaviors. Expected answer: There was a major campaign targeting first-time home buyers. Impact on approach: We may need to analyze return rates across different customer segments.

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