Algorithm-Derived Scores Explained
What readiness, recovery, sleep and stress scores on wearables actually are, why most are proprietary black boxes, and how to treat them as personal trends, not diagnoses.
Content last updated . This page has not been medically reviewed.
What a wearable score is
A wearable score is a single number or color built by a company's formula from several inputs, for example heart rate, heart-rate variability (HRV, the small beat-to-beat timing changes), movement and estimated sleep. The inputs may be measured, but the score itself is calculated. It is not a lab value, and no outside body has set a clinical meaning for it.Evidence labels: established, mixed, insufficient evidence, marketing claim.
Three layers
| Layer | Example | How trustworthy |
|---|---|---|
| Measured | Heartbeat signal from a light or electrical sensor | Often decent at rest; varies by device and activity |
| Estimated | Sleep stages, HRV, calories | Depends on a hidden model; accuracy differs by model |
| Calculated score | Readiness, recovery, stress, "sleep score" | Weights and cut-offs are usually not published |
What research says about transparency
A 2026 content analysis of 206 heart-rate-variability apps found that 86% of the 93 apps with enough information offered guidance such as readiness or recovery scores, and many relied on proprietary algorithms that were not transparently described, which limits independent checking of how scores were derived and validated. [1] Label for the meaning of proprietary scores: insufficient evidence.Errors travel upward
A score inherits the errors of its inputs. For sleep, one laboratory comparison of six wearables with the clinical reference (polysomnography, a sleep study) found good agreement on sleep versus wake (86% to 89%) but weaker agreement when classifying specific sleep stages (50% to 65%). [2] Any sleep score built on stages is therefore built on the shakier part. That study had 53 healthy adults for one night, and its authors note research support from one device maker. [2] Results apply to those exact device versions, not to newer models.For heart rate, reviews find accuracy at rest is usually reasonable but varies by brand and model and is worse during activity. [3]
Accuracy is not benefit
Even a well-measured input does not show that following a score improves health. This page found no trial linking a particular proprietary readiness or recovery score to better health outcomes in the sources read. Label: insufficient evidence.How to use scores safely
- Treat a score as your own trend line, not a verdict. No score is "ideal" for everyone.
- When a score conflicts with how you feel, see When Scores Conflict With How You Feel.
- Do not change medicines, training for a medical condition or eating because of a score. Chest pain, fainting or breathlessness need urgent medical care (call 911 in the US), not an app check.
- Individual score guides: Readiness Scores Explained, Recovery Scores Explained, Heart-Rate Variability Explained.
Frequently asked questions
Are readiness and recovery scores validated?
Proprietary formulas are often not published, which limits independent validation. [1] Check for independent studies of the exact device and score.
Why do two devices give different sleep scores?
They use different inputs, models and weights, and stage classification is the least accurate part. [2]
Does a good score mean I am healthy?
No. It is a calculation, not a diagnosis.
Is a wellness score approved by FDA?
FDA's general wellness policy describes low-risk products unrelated to disease. [4] It does not mean a specific score has been evaluated for clinical use.
What should I ask a company?
Which inputs, which device version, which independent validation, and what the score cannot tell you.
More details: evidence, limits and cautions
The details behind this page: cautions, limits of the evidence and where sources disagree. Open any note to read it.
Regulation
References
- de Jager E et al. Mobile Apps for Heart Rate Variability: App Store Search and Content Analysis. JMIR Cardio 2026. PubMed abstract. Read 2026-10-22.
- Miller DJ et al. A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults. Sensors 2022. PubMed abstract. Read 2026-10-22.
- Fuller D et al. Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review. JMIR Mhealth Uhealth 2020. PubMed abstract. Read 2026-10-22.
- U.S. FDA, General Wellness: Policy for Low Risk Devices (final guidance, January 2026). Page current as of 01/06/2026. Read 2026-10-22.