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Product Management Improvement Question: Enhancing About You's size guide for accuracy and user-friendliness

What features could make About You's size guide more accurate and user-friendly?

Product Improvement Medium Member-only
Product Strategy User-Centric Design Data Analysis E-commerce Fashion Retail
User Experience Personalization E-Commerce Fashion Tech Size Guide

Introduction

To improve About You's size guide accuracy and user-friendliness, we need to delve deep into user behavior, pain points, and technological possibilities. I'll outline a comprehensive approach to enhance this critical feature, focusing on user experience, data utilization, and innovative solutions.

Step 1

Clarifying Questions (5 mins)

  • Looking at the e-commerce landscape, I'm thinking About You might be facing challenges with return rates due to sizing issues. Could you share some data on our current return rates related to fit problems, and how they compare to industry benchmarks?

Why it matters: Determines the urgency and potential impact of improving the size guide Expected answer: Return rates are 30% higher than industry average, primarily due to fit issues Impact on approach: Would prioritize accuracy and personalization in size recommendations

  • Considering the importance of mobile commerce, I'm curious about our users' device preferences. What's the breakdown of users accessing our size guide on mobile versus desktop, and have we noticed any differences in conversion rates between these platforms?

Why it matters: Influences the design approach and feature prioritization for different devices Expected answer: 70% mobile usage, with 20% lower conversion rates compared to desktop Impact on approach: Would focus on mobile-first design and simplified user interface

  • Given the advancements in AI and machine learning, I'm wondering about our current data collection and utilization practices. How are we currently leveraging customer data, purchase history, and feedback to inform our size recommendations?

Why it matters: Determines the potential for implementing advanced personalization features Expected answer: Basic historical purchase data is used, but no advanced AI implementation yet Impact on approach: Would explore AI-driven personalization and predictive modeling

  • Considering the competitive landscape, I'm interested in understanding our unique value proposition. What sets About You's current size guide apart from competitors, and where do we see the biggest opportunities for differentiation?

Why it matters: Helps identify areas for innovation and competitive advantage Expected answer: Our guide is more detailed than most, but lacks interactive elements Impact on approach: Would focus on adding interactive and personalized features

Tip

At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.

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