Using technology to track data is incredibly easy in today’s day and age. Most triathletes use GPS-watches, heart rate monitors, mobile apps, and other gadgets to track and monitor all sorts of data on their training, racing, and general health.
But tracking and monitoring data is one thing. Using the data to drive your decisions about how to train and race is a different story. Knowing how to filter and decipher all the information that you have can be difficult and confusing. Focus on the wrong metrics and numbers, and your training is likely to stagnate, or worse, you might get yourself injured or overtrained.
Those triathletes and coaches that do learn how to effectively use data stand to gain massive advantages. The opportunities are almost endless, and will only become greater in the future. You can learn exactly when you need to push or back off your training, how to plan your training to peak perfectly in time for a race, when to move on from one training phase to the next, and so on.
In short, triathlon is at a crossroads where those not embracing and mastering data-driven training will inevitably get left behind their data-savvy competitors.
In this article you’ll learn about 11 high return on investment ways to use data to improve your training and racing performance. I’ll show you specific examples of how I use data-driven training in my own training and for athletes I coach. Feel free to copy my methods exactly, or adapt them to suit your needs.