Your watch flags a poor recovery score on the morning you planned a hard session. The number may be a useful prompt to check in, but it is an estimate from selected signals—not a direct measurement of whether you are ready to train or proof that you are becoming injured.
Look at patterns, not alerts
Resting heart rate, heart-rate variability, sleep estimates, and training load each describe a different slice of the picture. Compare trends against your own usual readings over time rather than treating one unusually high or low value as a standalone conclusion.
Add the missing context
Travel, stress, illness, alcohol, heat, and a late workout can all complicate how a night or training session appears in the data. Note those factors alongside the reading, then check whether your energy, soreness, and warm-up feel tell a similar story.
Make a decision with limits
If several signals and your own experience point toward fatigue, adjusting the session—by easing the pace, shortening the effort, or resting—may be more sensible than forcing the original plan. If the metrics disagree with how you feel, avoid letting an algorithm overrule persistent symptoms or common-sense judgment. When comparing devices, examine which signals they measure, how they present trends, and what they leave uncertain; no single score can prescribe training for every athlete.
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