What are the most effective key performance indicators to track progress in Zwift racing, and how can they be weighted to provide a comprehensive picture of improvement, taking into account the inherently reductive nature of metrics like watts per kilogram or finish position?
In particular, should Zwift racers focus on quantifiable metrics like average power output, normalized power, or training stress score, or should they also incorporate more nuanced measures like tactical awareness, group ride skills, or ability to respond to changing circumstances during a race?
Furthermore, how can Zwift racers account for the impact of external factors like internet connectivity, hardware quality, or software updates on their performance, and what strategies can be employed to mitigate these variables and ensure a level playing field?
Ultimately, what is the most effective way to distill the complexities of Zwift racing into a set of actionable metrics that can be used to drive progress and improvement, and how can riders balance the pursuit of data-driven excellence with the need to stay engaged and motivated in the virtual racing environment?
In particular, should Zwift racers focus on quantifiable metrics like average power output, normalized power, or training stress score, or should they also incorporate more nuanced measures like tactical awareness, group ride skills, or ability to respond to changing circumstances during a race?
Furthermore, how can Zwift racers account for the impact of external factors like internet connectivity, hardware quality, or software updates on their performance, and what strategies can be employed to mitigate these variables and ensure a level playing field?
Ultimately, what is the most effective way to distill the complexities of Zwift racing into a set of actionable metrics that can be used to drive progress and improvement, and how can riders balance the pursuit of data-driven excellence with the need to stay engaged and motivated in the virtual racing environment?