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14 votesNate English supported this idea ·
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73 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.
An error occurred while saving the comment An error occurred while saving the comment Nate English commentedThe ideal would be a scatter plot with individual workouts with a 7-day and 28 or 30d average overlayed. Tracking this along with resting HR, HRV, and perceived fatigue and effort could be a great quick and obvious way to track the body's response to training and acute increases in stress, sympathetic overactivity, and CNS suppression.
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35 votesNate English shared this idea ·
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229 votesNate English supported this idea ·
An error occurred while saving the comment Nate English commentedIt could be nice to be able to create anchors in the calendar where you anticipate an athletes FTP will change throughout the season. For example, if you know a cyclist has an FTP of 350w in November, and anticipate from past data that it will be 380w in the peak of their season in May or July, being able to map that out ahead of time and having workouts track with that in real time could be great. This would be appealing compared to going in every month and manually adjusting from 350 to 355 to 360 etc. every 4-5 weeks.
It would be great to track EF for cycling and running with power, so that you can see trends with respect to power output and HR over time. It would be useful to see trends as well as sudden shifts that may result from acute issues (illness, injury, overtraining, etc.).