Training quality feedback

TrainerRoad Software
1

I was going to respond on a complaint thread but decided it would just be lost. I think the new update is doing well overall. However, I find I’m very emotionally affected by the implied feedback.

I found this change in behavior to be challenging in the new AI update. The workout change approval was the most clear feedback on my training performance. Change to harder workouts meant I trained and recovered well.

I find a couple new feedback that replace it. First, each training zone has a score at the end of a workout. I can see for example, if I took a pee break during an interval, that zone will have a low score. The other indicator is the FTP prediction will go up or down based on my workout quality and recovery.

I would like to see more direct feedback. Something that says your workout and recovery was good enough we’re going to push you harder, vs. you are inconsistent or have poor workout performance, your training will be decreased.

For me, the other feedback I was used to was yellow and red days. I’m not getting way more red and yellow days which feels like scolding for poor compliance. I can’t tell if it is a side effect of showing the latest prediction for the the week? Or, if it is telling me I’m doing poorly.

2

So what you’re asking for I think moves more into LLM territory. Though an LLM trained on the Trainerroad data set and training model. They’ve said on the podcast this is something they’d like in future. I.e. The current AI (which is machine learning not LLM) just prescribes you workouts and then changes them based on what you’re doing but doesn’t tell you why. Just have to trust it. LLM would be able to explain why the plan has changed, give you feedback on rides, etc. Hopefully more meaningfully than the Strava AI…

2 Likes
4

Agreed, for giving descriptive feedback, it would be LLM territory. I would love to build that capability.