TR certainly could pull this metric out of their dataset very easily.
% HRR (scale from 0% = user’s resting heart rate to 100% = user’s max heart rate) during the core workout (excluding warm up and cool down, and any extra of those that the user added).
Remove the top 25% and the bottom 25% and average what’s left.
Maybe it’s a useless metric, I don’t know. But I often wonder how I compare when I do a workout, especially if it feels easier or harder than I expected. On a one-off it wouldn’t mean much, but if you were consistently above or below, it could be a good hint to adjust FTP.
Actually maybe I’ve hit on something there, maybe this is all that their AIFTP is
Agreed they should surface more of this info. People will come back and say heat, fatigue, etc, but those are things you could take into consideration as well.
Agreed, but I think if you were just to take an average of the middle 50% of people (or whatever), and you’d know yourself how YOUR conditions re heat/fatigue etc were… I think it would still be valuable/interesting to see.
I actually had good results using ChatGPT for this. I had a Sweet Spot workout that felt unexpectedly hard, and fed the intervals.icu page for the completed workout and my recent history into ChatGPT to analyze it. It identified the high HR drift during the workout and the fatigue I was carrying from my other workouts that week, and asked some follow up questions about fueling and heat to rule those out. For my next VO2 Max workout, it accurately told me the expected HR I’d hit for each interval in the session, and what to do if I was above or below those targets.
As someone who is never confident that I’m answering the RPE survey questions correctly, it helped me feel more confident that what I was experiencing was normal and I wasn’t driving myself off the rails with my training.
