Introducing Inclusive Beauty Searches for Mobile

Pinterest just shipped a feature that 60% of their top beauty searches were literally asking for. Yanis Markin walks through how they combined ML with inclusive design to solve it.

Pinterest's design and engineering teams launched skin tone range filters for beauty searches on mobile, starting with iOS. The feature lets users personalize makeup and hair results using a visual palette representing different skin tones, directly addressing user demand shown in search behavior.

Key Takeaways

• 60% of top 100 skin searches included tone descriptors like 'dark' or 'pale'
• Skin tone palette filter rolling out to iOS first, Android following
• Machine learning powers personalized Pin and video recommendations by tone
• Feature built from direct Pinner feedback and search pattern analysis

The team promises a deeper look at the design process is coming, and given the cross functional collaboration involved, it should reveal some interesting product development insights.