Product category

A life score app should show what sits behind the number.

daygauge calls this the Life Index: a 1-1500 daily read backed by sleep, movement, recovery, place and habit evidence.

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Why people search this

Start with the signal your own data can support.

People search for a life score app because they want one calm number that explains how their day is going.

The problem is that most scores become black boxes. A premium score has to answer: what moved it, what data was used, how confident is the read, and what should I try next?

Quick answer

daygauge keeps the score useful by pairing every Life Index for daily life: observed value, baseline value, source, confidence and score impact.

Search questions answered

What this page covers.

What is a life score app?
How should a life score be calculated?
Can a lifestyle score be trusted?
What data should affect a life score?
How does daygauge avoid a black-box score?

How daygauge would use this

From research context to product evidence.

Signal

daygauge keeps the score useful by pairing every Life Index for daily life: observed value, baseline value, source, confidence and score impact.The score is not meant to judge the user. It is a navigation layer for sleep timing, movement spread, recovery proxy, consistency, balance and life-log context.

Confidence

Missing or sensitive data lowers confidence instead of creating false certainty.If the signal is not measured, explicitly imported or user-approved, daygauge should say so in the evidence.

Weekly review

Pro keeps the weekly baseline review: what changed, what moved with it, and whether the pattern repeated.This is where daygauge should beat a generic wearable dashboard: better explanation, clearer baselines and safer boundaries.

Example evidence

What a user should expect to see in the app.

Movement spread: 11,400 steps across 5 active windows, +74 index impact, high confidence.

Weekly review preview

Data used

daygauge keeps the score useful by pairing every Life Index for daily life: observed value, baseline value, source, confidence and score impact.

Confidence

Confidence rises when the same pattern repeats against your own baseline and drops when key signals are missing.

Next move

daygauge would suggest one small experiment, then watch whether the evidence repeats over the next week.

Boundary

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.

Evidence 1

Movement spread: 11,400 steps across 5 active windows, +74 index impact, high confidence.

Evidence 2

Sleep timing: midpoint 34 minutes earlier than your Tuesday baseline, +28 index impact.

Evidence 3

Recovery proxy: resting HR +3 bpm versus baseline, -22 index impact, medium confidence.

Safety line

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.

Research context

Sources daygauge can cite without overclaiming.

These sources are used as context for product wording and evidence labels. They should not be turned into personal disease-risk estimates.

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.

Product boundaries

What daygauge should not claim.

No diagnosis, treatment, prevention or personal disease-risk prediction.
No hidden inference from sensitive data such as fertility, hormones, glucose, labs, cycle context or exposure tests.
No guilt language, food moralising, overtraining incentives or leaderboard use for sensitive topics.
No claim that a single habit caused a result. daygauge can show patterns, confidence and possible confounders.

Related daygauge guides.

Early access

Want daygauge to explain your Life Index from your own data?

Join the TestFlight waitlist and tell us which pattern you want daygauge to explain first.

iOS TestFlight first · paid app, one plan · evidence context, not medical advice