Harmonic Skincare

Harmonic Skincare is a personalized skincare app that uses AI to adapt routines based on a user's evolving skin health, lifestyle, and environment. It blends smart recommendations with peer-to-peer support, helping users make informed, trustworthy skincare decisions.

Design Team: Savannah Cheung, Darren Chin, Dan Kim, Alexia Peters, Valentina Arango, Vera Wu, and Pratchi Mehta

Role: Product Development, UX , market research and Brand Identity

Consumers often struggle with the trial and error process of finding skincare solutions that work for their unique and changing needs. Conflicting advice, marketing noise, and lack of personalization create frustration and fatigue.

Problem

Goals

  1. Design an adaptive system that responds to users' changing skin conditions, environments, and habits

  2. Build trust through transparency in AI recommendations and access to expert insights

  3. Foster community engagement by enabling users to share experiences and advice in a peer-driven space

  4. Offer a scalable freemium model that balances broad accessibility with tiered access to expert support

  5. Bridge science, technology, and user behavior to make skincare more intuitive, reliable, and empowering

Research

To inform the product strategy and design direction, a multi-method research approach was conducted to better understand user behavior, market gaps, and the emotional landscape surrounding skincare decision-making. The research aimed to uncover how users navigate product selection, what builds trust, and where current solutions fall short.

Competitive research revealed that many existing skincare platforms offer limited personalization, static assessments, and minimal community engagement. Research also drew on the Baumann Skin Type system to inform how users define their skin needs.

Market Research

Design Process

The design process was anchored in creating a responsive, user centered journey that could scale from onboarding to personalized recommendations and community engagement. This journey map and MVP outline helped structure the core features around user needs, feasibility, and future growth

Drawing on the Baumann Skin Type system, this step assesses skin characteristics alongside user demographics, geographic location, and current product usage. This foundational data enables the AI to begin tailoring recommendations with greater precision.

User Journey

Onboarding Flow

Outcome

The final product is a freemium mobile app that acts as a dynamic skincare companion. Users receive evolving, AI-powered recommendations, access to a real peer community, and premium tiers, consultation from board-certified dermatologists. The platform bridges gaps between science, product, and experience, offering a skincare journey that grows with the user.

This project highlighted the importance of designing for trust in AI driven experiences, especially in wellness. Balancing personalized tech with human insight was key. In the next phase, I’d explore integration with wearable sensors or third-party skincare data for even deeper personalization.