IntelliWidgets
Metrics
overview metrics are a type of health insight that represent interpreted outcomes , offering users a personalized understanding of their current health or well being they are derived from face scan data combined with contextual data they help users grasp actionable insights , such as mental stress levels, sleep quality, or energy balance intelliprove currently provides six health metrics, including stress, sleep, mental health risk, energy balance, hypertension risk and general fitness each health metric has its own widget a detailed overview of each metric can be found in the docid\ yeqwskx81eju z8n3djhy documentation structure of a metric widget a metric widget is composed of the following elements true 330,331 unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type score and confidence score (0β100) indicates how the user is doing, relative to a healthy person of similar profile (age, sex, etc ) this value is central to determining the zone (suboptimal, normal, optimal) confidence a second value (0β100) representing the certainty of the result visualized using a bar around the score wide bar = low confidence (not enough scans) narrow bar = high confidence (sufficient data) confidence improves as the user performs more face scans over time status categories status reflects the reliability and timeliness of the displayed metric no data β no measurements available yet preliminary result β initial estimate, based on first scan; further scans recommended confirming β getting there, approaching sufficient accuracy validated β confident, stable result reconfirming β latest result not up to date, no new scans for 7+ days this encourages regular usage and builds user trust over time zones each metric score falls into one of three zones true 220,220,221 unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type unhandled content type zones are color coded (e g , red = suboptimal, green = normal, blue = optimal) and influence both the visual feedback and copy shown in the widget info section this area serves two roles motivation encourages users to perform more scans to unlock validated results example βcomplete 3 weeks of scans to unlock your full insight β explanation reveals what the score is based on (e g , top 2 biomarkers, survey answers) shown after the motivation prompt is dismissed or fulfilled (e g status reaches 'validated') linked biomarkers & surveys each metric is backed by a combination of biomarkers (e g , heart rate, hrv, respiration rate) user inputs (e g , perceived stress, lifestyle data) historical patterns (e g , trends over time) this comprehensive approach ensures that scores are contextual, interpretable, and personalised