How can Oddity improve its Il Makiage foundation matching algorithm to increase accuracy for diverse skin tones?

Introduction

To improve Il Makiage's foundation matching algorithm for diverse skin tones, we need to focus on enhancing accuracy and inclusivity. This challenge involves refining our color matching technology, expanding our shade range, and improving the user experience for customers with a wide variety of skin tones. I'll approach this by examining our current algorithm, user segments, pain points, and potential solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current performance of our algorithm. Could you share some data on the accuracy rates for different skin tone ranges?

Why it matters: This helps us identify where the algorithm is struggling most. Expected answer: Lower accuracy rates for very dark and very light skin tones. Impact on approach: Would focus on improving edge cases and expanding the shade range.

• Considering user behavior, I'm curious about how customers interact with the matching process. What's the typical user journey for foundation matching, and at what points do we see the highest drop-off rates?

Why it matters: Identifies friction points in the current process. Expected answer: High drop-off during shade selection or after receiving incorrect matches. Impact on approach: Would prioritize simplifying the matching process or improving post-purchase support.

• Examining our product lifecycle, where does foundation matching sit in terms of priority for Il Makiage? Are we seeing this as a key differentiator or a necessary feature to keep pace with competitors?

Why it matters: Determines the level of resources and innovation we should invest. Expected answer: It's a key differentiator and focus area for the brand. Impact on approach: Would explore cutting-edge technologies and potentially radical solutions.

• Considering external factors, how has the recent emphasis on diversity and inclusion in the beauty industry affected customer expectations for foundation matching?

Why it matters: Helps align our solution with evolving market demands. Expected answer: Customers expect more inclusive shade ranges and personalized matching. Impact on approach: Would incorporate diversity considerations into all aspects of the solution.