Metric widget

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 metrics improve engagement , trust , and education by contextualizing physiological data are very tangible – biomarkers alone can be too abstract for users to relate to they enable hyper personalized recommendations based on a combination of objective (biomarkers) and subjective (questionnaires) data types of metrics intelliprove currently supports six metrics mental stress mental health energy balance sleep quality general fitness hypertension risk each of these insights combines biometric signals with personal data (e g , age, sex, bmi) and survey inputs to provide a well rounded assessment structure of a metric widget a metric widget is composed of the following elements element description title the name of the mtetric supporting text summarizes what the score means and may include actionable suggestions confidence bar + score the white bar serves as an indicator showing how confident we are about the score the narrower the bar, the higher the confidence the middle of the bar is the score as the user performs more face scans, the bar converges to a dot status tells the user how mature or reliable the result is based on data volume zone indicates whether the score is in a suboptimal, normal, or optimal range info section provides insight into how the result was calculated and which biomarkers and user inputs were used doubles as motivation educational area offers motivation to perform more scans and details what the result is based on score and confidence score (0–100) 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 (0–100) 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 – no measurements available yet preliminary result – initial estimate, based on first scan; further scans recommended confirming – getting there, approaching sufficient accuracy validated – confident, stable result reconfirming – 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 zone score range meaning suboptimal 0–33 below average for the user’s profile normal 34–66 average range for a healthy person of similar profile optimal 67–100 better than average (excellent health condition) 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 “complete 3 weeks of scans to unlock your full insight ” 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