Concept and product UX for an AI-driven wearable. Sensor data interpreted into glanceable, actionable insight — designed for the wrist and the dashboard at once, with the kind of restraint a body-worn product demands.
Modern wearables can measure heart rate, motion, oxygen, skin temperature, and a dozen other signals in real time. The user-facing problem isn't capture — it's curation. Most apps either bury the signal in dashboards no one reads, or oversimplify into vague green-yellow-red badges that mean nothing on a tough day.
WearSense AI was an exercise in finding the middle: AI-interpreted insight that earns its place on the wrist, with optional depth on the phone for the moments a user actually wants to dig in.
The on-body surface is the size of a postage stamp. Every screen had to earn its pixels. The design system started from a strict rule: never more than one decision per screen, and never more than three glanceable signals at a time.
Health-adjacent products have a higher bar than most. Every AI claim has to be hedged honestly without becoming useless. WearSense's voice avoids both extremes — it never says "you slept badly" but it also never hides behind "based on multiple factors." Confidence is shown plainly, alongside the underlying signals when the user wants them.
WearSense became a useful internal benchmark for what restraint looks like in AI-driven health UX. The decision-per-screen rule, the rationed haptics, and the natural-language daily summary have all carried into other AI-adjacent product work.