Life Index for daily life

A score should never be a black box.

daygauge is built around one rule: every Life Index change needs a clear reason, a baseline comparison and a confidence label.

Join waitlist Explore research guides

Score layers

What affects the Life Index.

Sleep timing

Sleep duration, sleep midpoint, wake consistency and how far today moved from your normal rhythm.

Movement spread

Steps, active minutes and whether movement was spread through the day or compressed into one burst.

Recovery proxy

HRV, resting heart rate and sleep context, weighted cautiously when readings are noisy or missing.

Consistency

Repeated useful behaviour across the week. daygauge rewards rhythm more than extremes.

Balance

High-output days can be capped when recovery signals look strained, reducing overtraining incentives.

Place patterns

Coarse routines such as home, office, gym, cafe and transit windows, never exact routes or addresses.

Evidence format

Every score movement needs evidence.

Observed

Sleep midpoint was 71 minutes later than your usual weekday. Source: Apple Health sleep summary. Baseline: last 21 comparable weekdays. Confidence: high.

Impact

Timing drift lowered the Life Index because your best weeks usually have a stable wake anchor. The score moves because the signal repeated across comparable days, not because a generic sleep rule said so.

Action

Tomorrow's quest: keep first outdoor movement inside your normal morning window. Small, testable and tied to the evidence. No guilt language, no medical promise.

Hot topics

Not every interesting topic should change the score.

Scoreable now

Sleep, movement, recovery proxies, consistency, balance and coarse place patterns. These are measurable from phone and wearable signals, with confidence labels when data quality drops.

Explicit import

CGM, labs, cycle context and selected food tags require the user to opt in or import data. Example: imported CGM may show whether a post-lunch walk changed your own glucose response. daygauge does not set targets or advise medication.

Context only

Microplastics, endocrine disruptors, hair concerns and sauna research can inform guides and optional notes. They do not change your score unless there is validated user-provided data and a safe behavioural interpretation.

Confidence

Missing data lowers certainty, not honesty.

High confidence: repeated pattern, clean source data and a stable personal baseline.
Medium confidence: useful signal but partial data, short baseline or one possible confounder.
Low confidence: missing wearable data, too few repeats or a topic that is research context only.
Low-confidence signals should not move the Life Index heavily.

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk.