What it does
Visible is a digital health companion for individuals managing energy-limiting chronic illnesses like Long COVID and ME/CFS. The app's core purpose is to help users understand their body's signals and manage their energy envelope through a practice called pacing. It combines self-reported symptom and exertion data with biometric readings (like heart rate variability) to provide a daily stability score, helping users make informed decisions about their activity levels.
Where it shines
Visible shines in its ability to turn a standard smartphone into a credible medical-grade tool. The morning check-in (01:51) uses the phone's camera to measure heart rate variability, a clever solution that bypasses the need for an expensive wearable. The app also stands out with its structured data collection, particularly the monthly check-in (04:21), which uses a validated questionnaire to calculate a functional capacity score. Finally, its Trends feature (06:40) empowers users by allowing them to overlay different metrics, making it easier to spot correlations between their activities and symptoms.
UX highlights
- Data-driven onboarding: The initial quiz (00:10) is extensive, asking for specific illnesses and a wide range of symptoms. This immediately signals to the user that the app is tailored to their specific, complex needs.
- Trust-building privacy screen: Before asking for any consent or account creation, a dedicated screen at 00:56 explains the app's commitment to data privacy. This is a crucial step for an app handling sensitive health information.
- Wearable-free biometrics: The process of measuring HRV using the phone's camera (01:51) is guided with clear visual feedback, making an advanced feature highly accessible.
- Actionable scores: The app distills complex data into simple, actionable scores, like the Morning Stability score and the Functional Capacity score (05:34), which provide a clear guide for the user's day.
- Comparative data analysis: The ability to overlay multiple graphs in the Trends section (06:48) is a powerful tool that helps users discover personal insights and triggers.
- In-app research opportunities: The Research tab (07:42) allows users to contribute their anonymized data to scientific studies, adding a layer of purpose and community engagement.
Monetization & growth
No paywall or monetization strategy is visible in this screen recording. The app focuses entirely on providing value and collecting data during the initial user experience. There are mentions of a 'Refer a friend' program in the blog section (07:04), suggesting a potential growth loop, but the mechanics are not shown. The primary focus appears to be on user engagement and data contribution, possibly for research and future product development.
Who it’s for
This app is clearly designed for a specific and often underserved audience: people living with complex chronic illnesses characterized by post-exertional malaise, such as Long COVID, ME/CFS, Fibromyalgia, and POTS. The language and features are tailored to individuals who need to carefully manage their energy and understand the impact of physical, cognitive, and emotional exertion on their symptoms. It's for users who are motivated to track their health in detail to find patterns and improve their quality of life.
Notes & opportunities
The onboarding process is long and data-intensive. While this is effective for personalization and filtering for committed users, it could be a point of friction for those experiencing severe brain fog or fatigue. Breaking the quiz into smaller, more manageable chunks or offering to save progress could improve completion rates. Additionally, while the morning check-in is a core feature, the initial results screen at 03:18 states "No score yet" and requires 3 more check-ins. Finding a way to provide some form of initial, provisional insight after the very first reading could enhance the feeling of immediate value.