Wearable data with a clock design

We’ve been working on different template structures that make it easy to quickly assimilate disparate data sets. With the wearable data, we’re taking information from food trackers, a workout watch, sleep sensors (Oura ring), a blood glucose monitor, and a focus survey, and trying to see how one set of behaviors influences others. i.e. how the time one goes to bed influences workouts and eating choices the next day.

In the video, we show 43 parameters per day, using a clock face template skeleton so users can easily identify the context of the meaning of different graphics.