Avon Skin Analyzer
Personalization at scale for a legacy brand. A mobile and web skin analysis platform designed to personalize recommendations and drive conversion.
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Product Design
Personalization Design
Cross-Platform Experience Design
Design Systems
Creative Direction
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Avon Art Director & Copywriters
LG CNS Team
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Figma
— Overview
A personalized skin analysis experience designed to help customers understand their skin and confidently choose the right products - across mobile and web.
— Problem
The core problem:
Customers lacked confidence choosing skincare online
Existing tools were fragmented, outdated, or too clinical
Product discovery relied on guesswork instead of data
Insights weren’t reusable across channels or regions
— Product Insight
Customers don’t want a diagnosis - they want clarity, reassurance, and a clear next step.
— Ideation & Design
My Approach:
Designed the experience to feel approachable, not clinical
Prioritized speed and clarity over depth
Balanced automation with user control
Research & Insights:
Users wanted guidance, not diagnoses
Overly technical language reduced trust
Visual feedback increased engagement and completion
Design Exploration:
Tested multiple entry points (survey-first vs scan-first)
Explored confidence scoring vs plain-language feedback
Iterated on visual indicators to avoid fear-based signals
— Prototype & Design
Solutions that stuck:
A guided scan and short survey to reduce guesswork
Clear results that translate skin data into product recommendations
Mobile-first flows designed for quick, repeat use
Collaboration:
Worked closely with marketing and developers to design something realistic to build
Partnered with brand and content teams to keep the experience friendly and on-brand
Aligned UX decisions with merchandising and content strategy
Iteration:
Refined flows based on drop-off points
Simplified visual hierarchy
Designed the system to be flexible for future updates and personalization
— Outcome & Learnings
Outcome:
Delivered a scalable skin analysis system for mobile and web
Created a repeatable framework for personalization
Reduced friction in the product discovery journey
Impact:
Improved confidence in product selection
Supported personalized recommendations at scale
Positioned Avon for future AI-driven personalization
What I learned:
Trust is a design problem, not a data problem
Clarity beats accuracy when users feel uncertain
The best personalization feels invisible
Small improvements, thoughtfully made — add up — just like good skincare.
