TrainerRoad Adaptive Training Review: The Future of Faster

There are a lot of cycling training apps. It doesn't have the same variety of riding options that come with Systm, the personal touch of a human coach on Training Peaks, or the candy-colored bling of Zwift. The platform's singular mission is to make you a faster cyclist.

The platform uses machine intelligence software to respond to the rider's unique strengths, weaknesses, and scheduling constraints and creates goal-based training plans that are updated daily. Every workout is analyzed by measuring how easy it is for the rider to complete each zone.
If you crush a VO2 max workout, the program will spit out a harder workout option the next day. On a day when riding feels tough, the program will cut you some slack and give you a slightly less intense follow-up workout. You can either accept the adapted program or stick with the original level of difficulty. The more you use it, the more data it can use to fine- tune your training, like a thermostat that learns from your daily use patterns. If you buy a whole year at once, you'll pay $189 for a subscription service that tracks you over time.

TrainerRoad creates a training plan to help you prepare for a race, ride, or event. It asks you to pick the type of race, the date of the event, and your preferred indoor and outdoor workout days. The TrainNow option allows you to choose from a selection of daily workouts from three categories: Climbing, Attacking, and Endurance, for those with no competitive goal in mind.

The need for ramp tests to establish your baseline functional threshold power is still necessary, even though adaptive training is smart. The highest average power you can sustain over the course of 45 to 60 minutes is measured in watt. You're retested every four to six weeks in order to calibrate the program based on your progression levels after you've been tested. The way the app tracks your fitness is through progression levels. They are calculated using machine learning, the company's already extensive set of data gleaned from millions of completed workouts by other athletes, and your own recent workout performance.

The power sensors on your bike can be connected to TrainerRoad's software.

Kody Kohlman is the RoadTrainer.

I was attracted to TrainerRoad's adaptive training. It was easy to use and efficient in my testing. I was inspired by the company's work. I listened to episodes with users such as Masters national champion Jessica Brooks, a busy mom with a full-time, high-level job, and US Paracycling Nationals silver-medalist Francesco Magisano, who is blind.

I tested the app in Minnesota in December after a four-week cycling hiatus due to minor surgery. I set an imaginary 100 mile gravel race for the end of May as my training goal. In the recommended Erg mode, you let the trainer set the amount of resistance for you based on your pedaling output. During my test, there was a point at which pedaling was so easy that I couldn't keep up with the baseline wattage.