Data collection has been a part of the daily routine of strength and conditioning coaches since well before the invention of software-based spreadsheets. There has long been a focus on quantifying heights, times, distances, weights, and much more within a strength and conditioning program. Regardless of the programming paradigm, the ability to objectively define improvements in performance is a central need of strength and conditioning coaches.
While handwritten records have largely progressed to a digital format, the process and procedures involved in testing and recording data have not experienced the same evolution. The logistics of data collection and recording in a large team environment where supervision and coaching take precedence creates many issues for strength coaches. The result of these actions creates an issue: How sure are we that the data we are recording in strength and conditioning, practice, competition, nutrition, rehabilitation, wellness, and recovery is accurate and reliable?
The quality of information we have available limits our ability as coaches to make truly informed decisions. To better understand this issue, it is worth diving into the field of measurement in research, statistics, and analytics to gain a mastery of foundational elements affecting the quality of the information you collect on athlete performance. Read More>>
Written by Matthew Hauck – Simplyfaster