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.
Tactical Heads-up Display
AI Trust vs. Sensitivity
Users are sensitive about how their skin is analyzed — especially across acne, aging, or hyperpigmentation.
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Visual Complexity
Skin is nuanced — lighting, makeup, camera quality, and ethnicity all impact AI accuracy.
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Overwhelming Market
Most users feel lost in skincare. Our job was to simplify, not add to the noise.
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Daily Engagement Without Pressure
Encouraging routines without creating guilt or feeling like a to-do list.
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Tactical Heads-up Display
Skin Diagnostic Flow
We designed a selfie-based analysis with guided lighting instructions and visual feedback cues.
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Personalized Routine Builder
Instead of suggesting dozens of products, the AI curated rituals — morning and evening routines with 2–4 recommended products.
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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.
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