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Recovery scoring

A recovery score should protect balance, not reward extremes.

daygauge treats recovery as a proxy built from personal baselines, not a diagnosis or a command to train harder.

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Why people search this

Start with the signal your own data can support.

Fitness recovery scores are popular because users want to know whether to push or ease off.

The risk is false certainty. HRV and resting heart rate are useful trend signals, but they are noisy and need sleep, load and personal baseline context.

Quick answer

daygauge combines sleep timing, active minutes, resting heart rate, HRV and recent output to decide whether the day should be moderate.

Search questions answered

What this page covers.

  • What is a fitness recovery score?
  • How should HRV affect recovery?
  • Can resting heart rate indicate recovery?
  • How do you avoid rewarding overtraining?
  • What is an anti-overexertion cap?
How daygauge would use this

From research context to product evidence.

Signal
daygauge combines sleep timing, active minutes, resting heart rate, HRV and recent output to decide whether the day should be moderate.Extreme step counts do not automatically win. If recovery proxies are outside baseline, the score caps high-output rewards.
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.

Output is up while recovery proxy is softer: active minutes +18, resting HR +3 bpm, HRV -7 ms.

Weekly review preview
Data used

daygauge combines sleep timing, active minutes, resting heart rate, HRV and recent output to decide whether the day should be moderate.

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

Output is up while recovery proxy is softer: active minutes +18, resting HR +3 bpm, HRV -7 ms.

Evidence 2

Anti-overexertion cap applied: high movement did not fully count because recovery was below baseline.

Evidence 3

Suggested action: keep today's quest light and stop at the planned effort cap.

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.
Read next

Related daygauge guides.

How HRV fits into a readiness scoreWearables can show stress proxies. They cannot read your mindA life score app should show what sits behind the numberCold exposure works best as a logged experiment
Early access

Want daygauge to explain recovery scoring in 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