Evidence model

Research context, not medical claims.

daygauge uses published research to frame lifestyle patterns, but scores users against their own baseline first.

See how scoring works Explore health guides

Safe wording

Every insight must stay explainable and non-diagnostic.

Use "your data suggests", "associated with" and "compared with your baseline".
Never claim to diagnose, treat, prevent or predict disease risk.
Show confidence when data is missing, incomplete or noisy.
Reward consistency and balance rather than extremes.

Signals

What daygauge can explain.

Sleep baseline

Sleep window, duration and timing compared with the user's recent baseline.

Movement spread

Steps, active minutes and whether movement is compressed into one narrow part of the day.

Rest balance

Recovery proxy signals such as HRV and resting heart rate, shown as trends only.

Place patterns

Coarse place types and broad windows used to understand routine without exposing exact location.

Growing the evidence base

We are always adding to this.

daygauge's evidence model keeps growing. We continuously look for credible studies and research to fold in, so the insights get richer and better grounded over time. If there is a topic, signal or area of research you would like us to cover, tell us and we will go and find the best evidence we can.

Suggest a study or topic →