Lüma Skin, a D2C skincare brand, set out to redefine how users understand and care for their skin. They envisioned an AI-powered digital experience that could assess skin conditions using selfies, daily habits, and environmental data.
Client
Lüma Skin
Industry
Skincare / Beauty Tech
Year
2025
Services Provided
AI Experience Design Skin Diagnostic UX Visual Design & Motion
Overview
Skin Diagnostic Flow
We designed a selfie-based analysis with guided lighting instructions and visual feedback cues.
//01
Personalized Routine Builder
Instead of suggesting dozens of products, the AI curated rituals — morning and evening routines with 2–4 recommended products.
//02
Progress Tracking
We introduced a “Skin Timeline” — a visual tracker that shows changes over weeks using color-coded heatmaps and simple metrics: clarity, balance, elasticity.
//03
Every innovation project brings its own set of complexities, especially when AI, user experience, and emerging technology intersect. In this project, our biggest challenge was to translate intelligent systems into human-centered interactions that felt natural, intuitive, and trustworthy.
AI Trust vs. Sensitivity
Users are sensitive about how their skin is analyzed — especially across acne, aging, or hyperpigmentation.
//01
Visual Complexity
Skin is nuanced — lighting, makeup, camera quality, and ethnicity all impact AI accuracy.
//02
Overwhelming Market
Most users feel lost in skincare. Our job was to simplify, not add to the noise.
//03
Daily Engagement Without Pressure
Encouraging routines without creating guilt or feeling like a to-do list.
//04
