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What caused the sudden 30% drop in Saks Fifth Avenue's online shoe orders last month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Luxury Retail E-commerce Fashion User Experience E-Commerce Root Cause Analysis Luxury Retail Sales Optimization
Product Management Root Cause Analysis Question: Investigating sudden drop in Saks Fifth Avenue online shoe orders

Introduction

A sudden 30% drop in Saks Fifth Avenue's online shoe orders last month is a significant issue that demands immediate attention and thorough analysis. This problem could have far-reaching implications for the company's revenue, customer satisfaction, and market position. I'll approach this issue systematically, focusing on identifying the root cause, 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 a seasonal factor at play. Has this drop occurred during the same month in previous years?

Why it matters: Seasonal patterns could explain the sudden change and inform our solution approach. Expected answer: No, this drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on inventory management; if not, we'd investigate other factors.

  • Considering the specificity of the drop, I'm wondering about recent changes. Have there been any significant updates to the website, particularly the shoe section, in the past 1-2 months?

Why it matters: Recent changes could directly impact user behavior and sales. Expected answer: A new filter system was implemented in the shoe category. Impact on approach: If changes were made, we'd focus on usability and A/B testing; if not, we'd look at external factors.

  • Given the magnitude of the drop, I'm curious about the affected customer segments. Is this decline consistent across all customer types, or is it more pronounced in certain groups?

Why it matters: Understanding which segments are most affected helps target our investigation and solutions. Expected answer: The drop is more significant among occasional shoppers rather than loyal customers. Impact on approach: If segment-specific, we'd tailor solutions to those groups; if universal, we'd look at broader issues.

  • Considering potential technical issues, I'm wondering about the stability of our systems. Have there been any reported technical problems or downtime in our e-commerce platform during this period?

Why it matters: Technical issues could directly impact sales and user experience. Expected answer: No major technical issues have been reported. Impact on approach: If technical problems exist, we'd prioritize fixing them; if not, we'd focus on other areas.

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Updated Jan 22, 2025