In this episode of Fast Physiology on the Critical Oxygen podcast, Dave Schell and I discuss the use of heart rate variability (HRV) for training. We explore the benefits and limitations of HRV as a training tool, emphasizing the need for context and integration with other training data. The conversation highlights the importance of paying attention to sleep and recovery habits, and the potential benefits of wearables in bringing awareness to these factors. TAKEAWAYS - HRV is a valuable tool for exploring how different factors affect recovery and training adaptations. - The use of wearables can bring attention to sleep and recovery habits, but should be integrated with other training data and not relied upon as the sole metric for decision-making. - Paying attention to context and isolating variables is crucial for accurately interpreting training data and making informed decisions. - The limitations of tools like HRV and the need for a holistic approach to training and performance monitoring are important considerations for athletes and coaches. If you have a question or topic you want us to address, leave a comment! Follow Phil on Instagram - https://www.instagram.com/criticalo2 Follow Dave on Instagram - https://www.instagram.com/kaizenendurance/ OR YouTube - https://www.youtube.com/@UCT5Cy95BiLIDQh4KS5bohhQ Interested in Gravel or Mountain Bike Coach? Head to Dave's website - https://www.kaizenendurance.coach/ CHAPTERS 01:08 How to Use Heart Rate Variability (HRV) for Training 03:02 Dave's Experience with HRV and Whoop Strap 05:42 Measuring HRV: Night vs. Morning 07:06 Stress Bucket Analogy and HRV 08:58 Factors Affecting HRV Readings 11:02 Importance of Consistent HRV Measurement Timing 13:10 Limitations and Misuse of HRV Data 14:00 HRV as an Indicator of Training Readiness 15:31 Practical Advice on Using HRV Data 17:01 Personal Experiences with HRV and Its Effects KEYWORDS heart rate variability, HRV, training, wearables, recovery, sleep habits, physiological testing, endurance athletes, training forums, lactate, stress bucket, physiological response, data monitoring, training load, performance, stress management