Sleep analysis
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I am currently testing the Suunto Run and the Apple Watch SE 2 during my sleep. And as much as I am impressed with the precision of the Apple Watch, the Suunto Run is completely beside the truth. Example of the last sequel which was a bad night and during which I got up around 2 a.m. because I couldn’t fall asleep. The Apple Watch perfectly detected this period while the Run thought I was sleeping. The problem with this false data is that the recovery is based on this false data and therefore the recovery is also false. The sleep score on the iPhone is “Passable” with a 0 out of 20 on interruptions and on the other side Sunnto announced a “normal” recovery. What do you think?
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@ADidier one thing that I noticed is that my score is consistently 79% (around 8/10 times) or a very close number in the app. No score is given on the watch which is weird. The algorithm needs some polish for sure.
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@ADidier I guess it depends on what you are using the data for… I pretty much ignore sleep analysis. If I sleep poorly I know it, if I sleep well I know it. Then when I exercise I do not use a device to tell me how hard I can exercise. If I have an interval run scheduled and I am tired and don’t feel I can perform the interval to achieve the desired intensity and get the training benefit I will defer to another day.
Personally I think relying on devices to tell you how well you slept, how you feel and how recovered you are is ludicrous. Sorry, my opinion only, not Suunto’s or anyone else’s.Vector/T6c/Vertical 2 Ti
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@Brad_Olwin
Because of everything you wrote I left Garmin. Now I use Suunto run and the only thing that matters to me is that it has an accurate gps. -
@Brad_Olwin I double that.
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@Brad_Olwin I don’t agree with this view. If the feature is there it should work. Or do you buy a car with air conditioning but if doesn’t work it’s ok because you can open the windows?
Suunto has a much less “fatigued” set of features compared to Garmin and I like it but the one’s they put on their watches should work with minimal accuracy.
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@Brad_Olwin said in Sleep analysis:
@ADidier I guess it depends on what you are using the data for… I pretty much ignore sleep analysis. If I sleep poorly I know it, if I sleep well I know it. Then when I exercise I do not use a device to tell me how hard I can exercise. If I have an interval run scheduled and I am tired and don’t feel I can perform the interval to achieve the desired intensity and get the training benefit I will defer to another day.
Personally I think relying on devices to tell you how well you slept, how you feel and how recovered you are is ludicrous. Sorry, my opinion only, not Suunto’s or anyone else’s.As ADidier stated, the sleep results can affect Recovery score. Ar you ignoring this metric too, or don’t sleep with the watch, so the Recovery metric doesn’t have that? Additionally the Resources metric also uses sleep data.
If your position is Suunto should completely delete Sleep, Resources, and Recovery metrics from the watch and app, as Suunto users should just “know this” like you do, then that’s certainly a bold position to take.
And hey, I’m not fully opposed to that. Perhaps Suunto should remove these things. Tell people not to sleep with their watch. Tell them to seek answers within, not without. Spend more time developing things that work rather than fixing things people don’t need, if that’s the final analysis of these features.
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@Nelson-Diogo said in Sleep analysis:
@Brad_Olwin I don’t agree with this view. If the feature is there it should work. Or do you buy a car with air conditioning but if doesn’t work it’s ok because you can open the windows?
Suunto has a much less “fatigued” set of features compared to Garmin and I like it but the one’s they put on their watches should work with minimal accuracy.
The analogy I think Brad is using is “I always drive with the windows open, so don’t need air conditioning,” and this leads to the collaborative thought “and if people want to be cooler, then they should open windows, not turn on air conditioning.”
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@Brad_Olwin Here here to all of what you said! In some respects, I’m tempted many times to turn OFF much of the detailed analysis features and just go by feel, and use watches for time and distance data (which dual band GNSS has made scary accurate!).
I had someone tell me when I first started running to learn to run by feel, and specifically to go to the extreme at times of literally covering the watch screen with tape (a little harder now with touch lol) to force myself to focus on the run, not the watch. I haven’t followed that as much as I probably should, but just like other posts I’ve made across this forum in recent days, there’s a point that simpler is better. And even with sleep data, my personal take has become more and more to use it as a reference for long term trends, rather than a detailed to the minute view of a particular night.
