Glow Me
Glow Me is a comprehensive mobile platform designed to be a one stop solution for personal skin health. The application leverages artificial intelligence to provide users with accurate facial scanning, personalized product recommendations, and direct access to dermatologists and beauty clinics.
Navigating the skincare maze
Skin issues are a daily struggle for over 60 percent of the population, leading to significant psychological impacts like decreased self confidence and increased stress. Through our research, we discovered that 53 percent of users find it incredibly difficult to navigate the saturated beauty market to find products that actually suit their specific needs. Users were experiencing "trial and error fatigue" because they lacked proper information on skincare ingredients and had limited access to professional dermatological advice. Meanwhile, beauty clinics were struggling to reach a broader audience and lacked integrated digital booking systems.
UI/UX Designer
I acted as a UI/UX Designer collaborating within a multidisciplinary team. I was heavily involved in end to end product design, from generative user research and affinity mapping to developing the design system and conducting robust usability testing cycles. I took ownership of structuring the high fidelity prototypes and translating complex AI analysis data into an accessible, user friendly interface.
From discovery to validated prototype
Research & Discovery
We initiated the research phase by deploying an online survey that gathered responses from 142 participants. To gain deeper qualitative insights, we conducted in depth interviews with both beauty enthusiasts and clinical staff. The data revealed a dual sided market problem. Everyday users felt overwhelmed by product choices and lacked reliable tracking methods, while clinic employees noted a significant need for an integrated online platform to attract and retain clients.
Design Thinking Process
Define & Synthesize
I synthesized the interview data into distinct user personas representing our two primary audiences: the everyday user seeking skin confidence and the clinic employee looking to expand their digital reach. By mapping out pain points on an Affinity Map, we categorized the core issues into prevention, treatment, and follow up phases. This helped us pinpoint the exact moments where users felt the most friction, such as the anxiety of trying a new product without knowing if its ingredients matched their skin type.
Pain Points & Affinity Map
User Persona
User Journey Map
Ideate
Using the synthesized insights, our team utilized an Eisenhower Matrix to prioritize features based on effort and impact. We focused our immediate efforts on high impact solutions: an AI Smart Skin scanner, a localized beauty marketplace, and a direct clinic booking system. We deliberately deprioritized secondary features like community forums for later phases to ensure we maintained a low cognitive load for our primary user flows.
How Might We
Brainstorming Session
Information Architecture
User Flow
Prototype & Competitive Analysis
We kicked off the visual design with Crazy 8 sketching sessions to rapidly generate layout concepts. I then developed a comprehensive Design System tailored for accessibility, ensuring all text and button contrasts passed WCAG AA and AAA standards. The interface utilized a deep teal and soft pink palette to evoke a sense of clinical trust while remaining approachable. I built the high fidelity prototypes in Figma, specifically applying Fitts's Law to ensure interactive touch targets were properly sized for mobile usability.
Crazy 8 Sketching
Design System
Scan to view full prototypeThe reasoning behind critical choices
Transparent AI Analysis Flow
Designing for artificial intelligence requires building user trust. Instead of presenting a simple "black box" result, the AI Smart Skin feature breaks down the facial scan into specific, understandable metrics. Based on user and expert feedback, I integrated clear visual indicators and health warnings if potential medical risks were detected, ensuring the app felt like a supportive tool rather than a definitive medical diagnosis.
Streamlined Omnichannel Marketplace
Users expressed frustration with jumping between different apps to find products, check ingredients, and book treatments. We designed a unified marketplace that houses both physical products and clinic services. By applying Jacob's Law, I utilized familiar e-commerce patterns for the checkout process, which drastically reduced the learning curve and minimized purchase friction.
Progressive Skin Profiling
To avoid overwhelming users during onboarding, the skin profiling questionnaire was designed with progressive disclosure. I included helpful, tap-to-reveal descriptions for different skin types, empowering users who previously lacked skincare knowledge to accurately set up their profiles without feeling interrogated.
Laws & Heuristic Evaluation
Usability testing & design iterations
We conducted two rigorous phases of usability testing utilizing Maze Design, System Usability Scale (SUS), and Single Ease Questions (SEQ). Phase one testing highlighted that users were confused by the AI analysis results page and struggled with the checkout flow. I iterated on the design by introducing clear micro interactions to guide users to their analysis results, adding brand filters to the marketplace, and incorporating direct quantity adjustments in the cart. Furthermore, after consulting with a dermatology expert, we added crucial medical risk warnings to the AI results for user safety. In our second testing phase, these iterations resulted in a 100 percent direct success rate and reduced the average task completion time from 41 seconds to just 10 seconds.
Design Iterations
Validated prototype with SUS score of 90
The final deliverable is a highly interactive, validated prototype of Glow Me. The application successfully merges AI diagnostic tools with a practical e-commerce and booking ecosystem. The success of our design iterations was quantitatively proven through a final SUS score of 90, representing an excellent level of user satisfaction and a highly intuitive interface. The project demonstrated a clear reduction in user error and a significant increase in task efficiency.
Testing Results After Iteration
What I Learned
This project highlighted the critical importance of iterative testing and the value of designing for accessibility from day one. I learned that integrating advanced technology like AI into a consumer app requires meticulous attention to transparency and user education. If I were to continue this project, I would focus on building out the clinic facing dashboard to ensure the provider experience is just as seamless as the patient experience. Ultimately, this sprint solidified my ability to leverage quantitative testing data to drive meaningful UI improvements.