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Company focus

GUESS

What factors are contributing to the 30% decrease in GUESS's accessory purchases through their mobile app over the last month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving User Experience Fashion Retail E-commerce Mobile Apps E-Commerce Data Analysis Root Cause Analysis User Behavior Mobile App UX
Product Management Root Cause Analysis Question: Investigating mobile app purchase decline for GUESS accessories

Introduction

The recent 30% decrease in GUESS's accessory purchases through their mobile app over the last month is a significant concern that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the business.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Given the sudden drop, I'm wondering about recent app updates. Have there been any significant changes to the mobile app in the past 1-2 months?

Why it matters: App changes could directly impact user experience and purchasing behavior. Expected answer: Yes, a major UI overhaul was implemented 6 weeks ago. Impact on approach: If confirmed, we'd focus on UI/UX issues in our analysis.

  • Considering seasonality, is this decrease unusual compared to the same period last year?

Why it matters: Helps distinguish between normal fluctuations and actual problems. Expected answer: This decrease is abnormal; last year saw a 5% increase during this period. Impact on approach: If confirmed, we'd rule out seasonal factors and focus on recent changes.

  • I'm curious about the scope of the issue. Is this decrease consistent across all accessory categories or specific to certain types?

Why it matters: Identifies whether the problem is systemic or category-specific. Expected answer: The decrease is more pronounced in jewelry and watches, less so in bags. Impact on approach: If confirmed, we'd investigate factors specific to the most affected categories.

  • Thinking about user segments, has there been a change in purchasing patterns across different demographics or user groups?

Why it matters: Helps identify if the issue affects all users or specific segments. Expected answer: The decrease is more significant among younger users (18-25). Impact on approach: If confirmed, we'd focus on factors that might specifically impact younger users.

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Updated Jan 22, 2025