#Trainerroad how to
#Trainerroad full

Managing this is often more like art than science. But successful athletes are the ones who can adapt all of these sources of information into a consistent set of daily practices, responding to each new piece of information intelligently.

#Trainerroad how to

They donРІР‚в„ўt tell us how to live daily life as athletes. There is plenty of РІР‚СљscienceРІР‚Сњ to help guide us, but scientific studies usually answer narrow questions. We often copy patterns that other people seem to use successfully. In the quest for improved fitness and competitive success, most athletes use a combination of analytics tools, personal experience, rules-of-thumb, and coaching. ItРІР‚в„ўs not just an attempt to improve TrainerRoadРІР‚в„ўs rate of workout and plan completion, but a sea change in training methodology. The goal is for athletes to be far more likely to have the satisfaction of workout and plan completion, while still being challenged sufficiently to achieve progression and reach goals (more on progression below).Р”Р„nother, more philosophical, answer is that itРІР‚в„ўs much more than that. Adaptive Training claims to be able to gracefully handle all of these situations, and more. Just a few examples are selecting a workout or plan not consistent with their current fitness level, being suddenly inundated with life stress or events, being a really strong performer on Ramp Tests resulting in over-estimated FTP, or having different responses to training stress compared to the РІР‚СљaverageРІР‚Сњ person. There are myriad reasons that an athlete could have difficulty with TrainerRoadРІР‚в„ўs РІР‚СљoldРІР‚Сњ system. DCRainmaker also has a nice introduction to the TrainNow feature, the one feature available for all TrainerRoad users without the need for special access to the Adaptive Training beta testing program (as of the writing of this article).Р”В«ut what problem are all these features attempting to solve? One answer to that is that itРІР‚в„ўs an attempt to solve a long-running criticism of TrainerRoad: workouts and plans that are often just too difficult to complete as prescribed. TrainerRoad is rolling many features into the brand name РІР‚СљAdaptive Training.РІР‚Сњ I recommend listening to episode 298 of the Ask a Cycling Coach podcast for a long, detailed introduction to most aspects of it, present and planned.

#Trainerroad full

It is only being used to hammer out any lingering bugs, and full Adaptive Training will be released out to the masses relatively quickly.

It is not a deep-dive into the details of daily use of TrainerRoadРІР‚в„ўs Adaptive Training - that will come later after thereРІР‚в„ўs been some time to collect experience with it.Р”Р„s a note for those curious to try Adaptive Training, TrainerRoad says that the beta testing program will not be a long-running process. This article is intended to be a gentle introduction into what intelligent workout and training plan generation is, why it might improve some aspects of training, how we can prepare ourselves for these systems, and how we can evaluate them. And the other РІР‚СљsmartРІР‚Сњ training platforms have similar elegant interfaces. From what weРІР‚в„ўve seen so far, that principle is being maintained with Adaptive Training. A guiding principle of TrainerRoad from the start has been maintaining a carefully curated, elegant user interface that doesnРІР‚в„ўt overwhelm users. But there should be a payoff at the end, not just in measurable performance, but in the enjoyment of the process. The subject can be daunting to approach, bringing new concepts and yet more new jargon and acronyms into training methodology - a subject already inundated with jargon, acronyms, complicated graphs, etc. Starting with cycling, but transitioning to other sports in time.

But as 2019-2020 saw a tipping point in virtual riding transitioning from novelty to likely a permanent and fundamental part of cycling, I think we may soon see something similar with РІР‚СљsmartРІР‚Сњ workout and training plan generation becoming mainstream. Not because theyРІР‚в„ўre first - Xert, SUF, AI Endurance, VeloPro, and others have all introduced most of the features announced by TrainerRoad, and some of them have been operating for years. TrainerRoadРІР‚в„ўs recent announcement of the Adaptive Training feature could mark a definitive moment in the historical progression of training for the masses.