Oculo Health

Creates data layouts for wearable wristband technology
Measures physical data only with a complicated UI
Whoop
Built off years of clinical research, Oculo uses phone cameras to identify eye movement patterns that reflect mental fatigue and cognitive load and synthesize these metrics with user sleep data to project ultradian rhythms that show optimal times for productivity.
January - May 2022
Project Timeline
Senior Designer
Role
Mobile web design
Project Type
Figma, UX Research, Market Research, UI Design, Data Visualization, Prototyping, Cross-team Collaboration
My Impact
Design the technology to make brain health more accessible, insightful, and actionable as well as develop the V0 of Oculo’s UX and UI in a competitive market with unexplored metrics and contemporary research through onboarding, homepage, and progress page.
The Design Challenge
Solution
Maximize user retention and educate new users about the app and its features, design intuitive visual displays of data and actionable insights, and track long-term use and provide complex data analysis
User Persona
Research
The target audience for Oculo are data minded, health conscious professionals between the ages of 18-35 who seek new and holistic brain health oriented metrics to stay informed about their performance, recovery, and health.
Headspace
An app focused on meditation and mindfulness.
Measures solely qualitative data and implements heavy UI illustrations.
Competitor Analysis
Our team looked into other popular apps that measure user’s mental and physical health and took into consideration how health metrics were visualized.
Rise
An app tracking sleep data with wearable technology.
Measures sleep data only with a graphics heavy UI
Oura
Visualizes data layouts for wearable ring technology
Measures physical data only with image heavy UI
Information Hierarchy
Ideation and
Opportunity Spaces
App Experience
Brain Metrics
In order to increase user engagement, our team began by taking on the task of visualizing key metrics of brain health that are intuitive to understand.
Burn - Measures how much your brain worked today based on accuracy, alertness, and energy. Calculated through the eye-test.
Recovery - How much your brain has recovered. Based on the user’s sleep and biometric data.
Capacity - How much your brain can work today. Calculated from burn and recovery data.
Metrics Flow
Eye tracking test
Low and Mid
Fidelity Designs
79%
113%
65%
120%
Our team began ideating different ways to measure brain burn visually. Since brain burn can reach high levels and can pass recommended levels, we were challenged with creating a design that signaled metrics over 100%.
Based on these three designs, our team decided to utilize the glowing orbs with rings as the primary design. This orb is able to symbolize growing levels that were contained within the “normal”, recommended levels of burn. If the orb’s size was larger than the ring, users could visually discern warning levels of burnout.
High Fidelity Prototypes
Onboarding
Education - reducing confusion for users and learn more about what Oculo offers and the technology it uses to collect brain health data
Personalization - users sign up and are prompted to log their brain health goals to create actionable insights geared towards user goals
Eye test - produces the user’s first set of brain health data when they navigate to the homepage. we wanted to maintain a seamless flow from vertical to horizontal orientation through a simple animation guiding the user through the entire test
Dashboard
Display and convey brain analytics through visualization of metrics and encouraging user interaction
Brain burn - animated orb that changes color and size based on user burn score - view their energy insights with respect to their circadian rhythm
Progress Page
Gamified space for data history and future model predictions motivating users to continue providing data
Next steps
Conduct High-Fi Usability Test with target audience
Design screens for Eye test
Explore further strategies for user motivation and consistency in measuring data