Settings and activity
9 results found
-
32 votes
An error occurred while saving the comment Chad supported this idea ·
-
3 votes
-
21 votes
-
11 votes
-
15 votes
Thank you for the feedback. This is a common request and has been added to that project’s feedback.
Future opportunities have not been added to our road map yet, but we are actively collecting feedback which contributes to the prioritization process. We do not want to set up false expectations and want to make sure that there is awareness that this update currently is not prioritized and does not have an ETA.
-
63 votes
-
5 votes
-
3 votes
An error occurred while saving the comment Also to ask our coach questions for clarification about a future workout - I would assume an athlete leaving a pre-activity comment would notify them the same as a post-comment.
This popular request also exists here:
• https://peaksware.uservoice.com/forums/106657-trainingpeaks-customer-feedback/suggestions/34625569-let-athletes-access-pre-activity-comments-to-ask-q
• https://peaksware.uservoice.com/forums/106657-trainingpeaks-customer-feedback/suggestions/11436693-let-athletes-access-to-pre-activity-comments-in-wo -
102 votes
Efficiency Factor and other decoupling metrics are currently available for reporting in WKO4. You can download a 14 day trial of WKO4 for Mac here, the PC version will be available by the end of the year.
http://home.trainingpeaks.com/products/wko4An error occurred while saving the comment These need to be added as a chartable metric. In reality as a sub based model the gap between TrainingPeaks and WKO should be narrowing, local software should be giving ground to online that can be utilized on the growing population of tablets.
Critical measurements such as EF and Pwr:Hr should be available to be charted with filters to track over time instead of per-workout
Coaches want to know which bike we used on a ride, and a different power meter could mean something to them during their analysis and data cleanup. Sensor data is already in our data files, and something like Strautomator lets us do this very request in Strava (assign a bike based on a sensor presence.)
This now makes more sense than ever with electronic groupsets, the presence of a specific Di2 or AXS sensor can fool-proof identify a bike.
Currently I don't bother setting a bike at all because eventually I'll forget the tedious task of setting it on every workout, and at that point the data can't be trusted.