I only adopt a feature if it helps a client connect a number to an actual feeling, moving them closer to understanding their own body. For instance, I coached an executive who felt drained but blamed it on being 'busy'; seeing his consistently low HRV scores objectively showed his nervous system was in overdrive, and this data finally convinced him to build in restorative practices. A major red flag is any metric that promotes obsessive checking; if a 'readiness' score makes a client feel anxious or defeated before the day begins, it has become another stressor, and I'll advise them to ignore it entirely.
We decide whether a new wearable sensor is worth integrating by testing if it changes decisions, not dashboards. Wrist temperature earned its place when a sustained baseline deviation flagged early illness risk in endurance athletes, prompting reduced volume and recovery blocks days before subjective symptoms appeared, which prevented missed training weeks. HRV only stayed after proving it could be acted on with consistent morning compliance and clear thresholds tied to load adjustment. A red flag that made us ignore a hyped feature was single-night novelty metrics with high intra-user noise and no repeatable intervention logic. If a signal cannot drive a specific, repeatable coaching action, we do not ship it Albert Richer, Founder, WhatAreTheBest.com