# Oura-Style Health Companion UI (Learn the Pattern) > By Lawrence Arya, Founder & CEO of VP0. Published 2026-05-30, updated 2026-06-02. 4 min read. > Source: https://vp0.com/blogs/oura-ring-companion-app-ui-clone The skill is turning numbers into something a person understands at a glance. **TL;DR.** An Oura-style companion distills wearable data into one daily score plus drill-down detail and trends. Learn the pattern and build it from a free VP0 design with your own brand. Read data from HealthKit with explicit permission, never log raw health values (around 71% of apps leak data), and frame insights as informational, not medical claims. The Oura ring and similar wearables made a specific UI pattern popular: a companion app that turns raw sensor data (sleep, readiness, activity) into a simple daily score and clear trends. If you are building a health or wearable companion app, that pattern is worth learning, with the usual caveat: learn the pattern, not the brand. The short answer is, learn how a good health companion distills data into one headline score plus drill-down detail, build it from a free VP0 design with your own identity, and read health data through HealthKit with permission rather than inventing or mishandling it. The skill is turning numbers into something a person understands at a glance. ## What to learn from a health companion app The core move is synthesis: a wearable produces a flood of data, and the app's job is to reduce it to a daily headline (a readiness or sleep score) the user grasps instantly, then let them drill into the contributing factors and trends. The lessons: a clear daily score card on the home screen, a detail view that explains what drove it, and trend charts over time. Health data is among the most sensitive, so it must be read through the proper API with explicit consent, roughly [71%](https://cybernews.com/security/) of mobile apps were found to leak sensitive data, and health is the worst category to leak. Build trust through clarity and careful handling. ## How to build a health companion UI VP0 is a free iOS design library for AI builders. Pick a dashboard, score-card, and detail design, copy the links, and have Cursor or Claude Code build them in [React Native](https://reactnative.dev/) or SwiftUI: a home with one prominent daily score, a detail view breaking down contributors, and trend charts. Read data from Apple's [HealthKit](https://developer.apple.com/documentation/healthkit) only after a clear permission prompt, and never log raw health values. Pair it with a watch complication so the score shows on the face. Avoid medical claims unless you are a regulated medical app, frame insights as informational. Brand it as yours, not Oura. For the ring visualization itself, see [watchOS health ring UI clone](/blogs/watchos-11-health-ring-ui-clone/). ## Health companion building blocks Here is what each part should do. | Part | What to get right | |---|---| | Daily score | One headline number, glanceable | | Detail / contributors | What drove the score | | Trends | Charts over time | | Data | HealthKit with permission | | Framing | Informational, not medical claims | ## A worked example Say you build a sleep companion. From VP0 designs, build a home with a single "Sleep score: 82" card, a detail view showing the contributors (duration, consistency, restfulness) and a week-of-history chart. Read sleep data from HealthKit after a clear permission prompt; never log raw values. Add a complication so the score appears on the watch face. Keep the language informational ("your sleep was more consistent this week"), not diagnostic. Brand it your way. For honest motivation around the score, see [Duolingo-style gamification UI](/blogs/duolingo-style-gamification-ui-assets/); for a daily-capture companion, [BeReal-style dual-camera UI template](/blogs/bereal-style-dual-camera-ui-template/). ## Common mistakes The most common mistake is dumping raw data instead of synthesizing it into a clear score and trends. The second is copying Oura's name, brand, or exact ring look. The third is reading HealthKit without a clear permission prompt, or logging raw health values. The fourth is making medical claims when you are not a regulated medical app. The fifth is forgetting the watch complication, where glanceable health UI is most useful. ## Key takeaways - A health companion's skill is synthesis: turn raw sensor data into a glanceable daily score plus drill-down. - Read health data via HealthKit with explicit consent, and never log raw values (around 71% of apps leak data). - Frame insights as informational, not medical claims, unless you are a regulated medical app. - Build from a free VP0 design with your own brand, and add a watch complication for the score. ## Frequently asked questions How do I build an Oura-style health companion UI? Synthesize the data into one glanceable daily score on the home screen, a detail view of contributors, and trend charts. Build it from a free VP0 design, read data from HealthKit with permission, and keep your brand your own. Where does the health data come from? From Apple's HealthKit, only after the user grants explicit permission. Never log or store raw health values carelessly, since health data is the most sensitive to leak. Can I make health claims in the app? Only if you are a regulated medical app. Otherwise frame insights as informational ("your activity was higher this week"), not diagnostic or medical claims. What makes a health companion feel good? Synthesis and clarity: one headline score you understand instantly, a clear breakdown of what drove it, trends over time, and a watch complication so it is glanceable. ## Frequently asked questions ### How do I build an Oura-style health companion UI? Synthesize the data into one glanceable daily score on the home screen, a detail view of contributors, and trend charts. Build it from a free VP0 design, read data from HealthKit with permission, and keep your brand your own. ### Where does the health data come from? From Apple's HealthKit, only after the user grants explicit permission. Never log or store raw health values carelessly, since health data is the most sensitive to leak. ### Can I make health claims in the app? Only if you are a regulated medical app. Otherwise frame insights as informational ('your activity was higher this week'), not diagnostic or medical claims. ### What makes a health companion feel good? Synthesis and clarity: one headline score you understand instantly, a clear breakdown of what drove it, trends over time, and a watch complication so it is glanceable. --- *Published on the [VP0 Journal](https://vp0.com/blogs). Free to read, index and cite with attribution.*