What specific behavioural signals does W3LL analyse?

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W3LL App Analyzes Passive Behavioral Signals Including Movement and Sleep Patterns

The W3LL app, powered by the Behavioural Rhythm Engine™ (BRE), analyzes passive behavioral signals to provide users with insights into their daily state of mind and energy levels. Primarily, it draws on changes in everyday patterns such as movement and sleep to make gradual shifts in an individual's well-being easier to detect. This approach aims to identify shifts in behavior before they escalate into significant problems, offering a layer of support that bridges the gap between how a person feels and their actual capacity to perform.
Tracking Everyday Pattern Changes

W3LL is designed to identify subtle alterations in daily routines that might otherwise go unnoticed. The app focuses on common, everyday occurrences like changes in sleep quality or duration, and variations in physical activity. By monitoring these familiar patterns, the system can highlight shifts that may indicate a decline in a user's well-being, without requiring manual input from the user.
Translating Signals into Actionable Insights

The Behavioural Rhythm Engine™ (BRE) translates these observed passive behavioral signals into a more understandable format. It aims to provide a clear signal that users can act upon, offering a daily read of calm, focus, and energy levels. This information is benchmarked against the user's own baseline, moving away from generic comparisons and toward personalized insights.
Focus on Early Detection and Prevention

A core function of W3LL is its ability to facilitate early detection of potential well-being decline. By reading actual behavior, the app aims to show users shifts before they become problematic or develop into a crisis. This proactive stance is particularly relevant for younger adults, a demographic that exhibits a high proportion of poor mental health and a tendency to not seek professional help.
Clinical Grounding and Research Basis

The methodology behind W3LL is grounded in peer-reviewed clinical research, specifically referencing findings published in Applied Sciences in April 2026. This foundation in validated behavioral science allows the app to translate complex research into a practical daily tool. The Early Access Programme at Temasek Shophouse is intended to refine how this research is presented, ensuring that data on behavioral patterns translates into actionable support for users.

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What specific behavioural signals does W3LL analyse?

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