You know, I’ve learned that some data is almost always better than no data when it comes to tracking client progress. Even if a wearable isn’t perfectly accurate, it provides consistent relative measurements that help us spot trends over time. Those trends are what really matter for programming adjustments. The key is understanding a device’s limitations and using it accordingly, not overhaul the entire program based on the biometric data. If a tracker consistently underestimates calorie burn by 15%, that’s fine as long as that reading is consistent, because we can still see when effort increases or decreases week to week. I’d rather have an imperfect heart rate reading that shows recovery improvements than rely solely on subjective “how do you feel” conversations, though both have value. Are these devices flawless? No, but each year improvements are made to the technology to make it a more reliable option. Even basic step counts and sleep duration estimates give clients something tangible to work with and keep them engaged in their own progress. The accountability factor alone (just wearing the device) often drives better adherence than having nothing at all. So while I still do that validation test to avoid truly unreliable devices, I don’t let perfect be the enemy of good when it comes to getting clients started with biometric tracking.