Transforming Complex Health Data into Actionable Wellness Insights
The health market, specifically smart rings like Oura Ring, UltraHuman, and Whoop, represents a revolution in how we monitor our well-being. However, there is a significant opportunity to adapt and evolve this technology to better meet users' needs and realities.
3 Months
UX/UI Designer
Desk research, competitive analysis, interview, heuristic analysis, JTBD, HMW, Cost vs benefit matrix, MoSCoW method, hypothesis statement, journey map, moodboard, wireframing, user testing.
Figma, Maze, Meet
Data Interpretation: We believe users struggle to understand the practical meaning of the data collected by the ring because the metrics are presented in a technical and decontextualized manner, resulting in low continuous engagement with the app.
The key findings suggest Ultrahuman can differentiate through metabolic health focus, positioning between premium and budget competitors, and creating unique value through continuous glucose insights.
Conducted qualitative interview with 5 individuals who wears a ring (any, not only Ultrahuman) who are health conscius professional and fitness enthusiasts.
"Stress! The ring changed my life. I changed my work schedule because I know there is a Client that stresses me. So I always move him to the day before my day off." P1
"If there is a technical word I don't know, I google it." P4
"I feel physically better after wearing the ring. I did some routine changes based on it reports." 3P
By using product hypothesis, I was able to define my goals and antecipated results with grater clarity. They helped me focus on specific tasks and deepen my understanding of users need.
"We believe that implementing a layered dashboard that presents information from simple to detailed will help users better understand their health metrics without feeling overwhelmed because we know users currently feel lost in overly technical graphs and want to build confidence gradually."
"We believe that delivering personalized summaries and recommendations based on user patterns will increase user engagement and perceived value because users want actionable insights, not just raw numbers, to help connect data to real-life behaviors."
"We believe that offering a feature that helps users build daily habits based on ring data will increase long-term engagement and user satisfaction because users want to use the ring not just to track data, but to change behavior meaningfully."
Prioritizing features based on user needs and business goals.
The goal of this journey is to map the input and monitoring of data within the Ultrahuman app, identifying user actions, difficulties, and pain points, in order to then correlate these issues with the solutions proposed in the previous stages.
Complete user lifecycle (awareness → purchase → onboarding → daily use → long-term engagement)
Jarvah Scrip, 32-year-old Marketing Manager | Health-conscious but time-constrained | Previous Fitbit user seeking deeper health insights.
Goals: Understand metabolic health, optimize energy levels, improve sleep quality without subscription fees.
Motivations: Interested in health optimization, wants to use data to improve daily performance and well-being.
Pain Points: Overwhelmed by complex health data, frustrated with cluttered interfaces, wants actionable insights.
Tech Comfort: Moderate - uses fitness apps but struggles with information overload.
Intelligent health companion providing deep metabolic insights through continuous glucose monitoring integration, sleep optimization, and recovery tracking—all without ongoing subscription costs.
Based on the research and insights gathered, I created a design that focuses on simplifying complex health data into actionable insights, enhancing user engagement, and providing a personalized experience.
The design features a layered dashboard that presents information from simple to detailed, personalized summaries, and actionable recommendations based on user patterns.