Hi everyone,
I’ve been exploring ways to make Trainerize training plans far more adaptive and personalized, and I’d love to hear thoughts from the community and product team on this.
Here’s what I’m envisioning:
Real-Time Performance Feedback Loop:
Collect real-time data from connected wearables (heart rate variability, sleep quality, daily activity, training load).
Adjust day-to-day training intensity or volume based on recovery metrics and recent performance trends.
Has anyone experimented with adaptive plan logic like this in Trainerize or similar platforms? What worked and what didn’t?
Looking forward to insights from coaches, developers, and product thinkers!
Admin: Snow Rider 2