Our users are early-adopter athletes and tech-curious exercisers between 18 and 64. Tracking the whole body today takes an impractical number of separate trackers, so none of them get a single overview of their potential or their injuries. We interviewed a PhD student in health and rehabilitation technology to learn how athletes and the health sector actually use fitness applications.

• Idea generation, How might we, personas, a storyboard and wireframes.
• A 60-30-10 colour hierarchy: dark blue, orange and white, applied consistently across the system.
• Orange, because it feels familiar next to the fitness apps people already use.

• A 3D model of you on the main page, replaying your movements in real time and alerting you if something goes wrong during a workout.
• Sleep. An in-depth analysis of your sleep stages and how they are distributed.
• Workout recap. Weekly, monthly and yearly analytics and comparisons, with visual guides such as videos and images, for safer and more efficient training.
• Warnings and recommendations. The sensors track the movement, the model shows it, and the system warns before a movement leads to injury.

• Participants were recruited only from the target group, early-adopter athletes, which kept the feedback relevant.
• The PhD student from the interview took part throughout the user testing, for consistency.
• The full write-up is linked at the top.