I’ve seen posts from people complaining because the Wyze app doesn’t allow you to track the segmented analysis for body fat and muscle balance to see trends. I had the same complaint, but I found a work around.
You can download the detailed report every time you take a measurement (for me, it’s every morning). The downloaded reports save as png photo files. If you use Microsoft 365, you can have Co-Pilot analyze each photo, and extract the data from the segmented analysis. After it extracts the data, it can put it into an Excel spreadsheet, which you can then use to track trends. You have to tell Co-Pilot how you want it to look, so I just had it create a spreadsheet that tracks Segmental Fat by L Arm Fat, R Arm Fat, Trunk Fat, L Leg Fat, and R Leg Fat. Same for Muscle Balance.
You don’t have to know anything about how Co-Pilot does what it does or be an Excel whiz. You just download the photos from the Wyze App, paste them into Co-Pilot, tell it what data to extract, and tell it to put the data in a spreadsheet that you can use for tracking. Works great!
Nice work around and thank you for sharing. I will also relay to the team that users want a native way to track this info for trend analysis.
That would be great.
That’s one of the great features of the Ultra Body Scan scale, but right now, it’s locked into each individual scan, unlike every other metric that can track across multiple scans so you can see trends.
The bad news is that my work around is not really viable. Turns out that having Co-Pilot extract the data and place it in a table uses valuable AI credits. If you have MS 365, you only get 60 credits per month, and the actions I’ve described would use 1 credit per day, so 1/2 of your monthly allotment.
The good news is that there is an equally simple workaround that doesn’t use AI credits. Just create a table in Excel for the 5 segmented fat readings and 5 segmented muscle readings, and then manually enter the data. Takes 60 seconds each day if you do daily weighs in, or less if you do weekly weigh ins, and then you’ll have a historical record of the various readings that you can track for trends.
It would be even simpler if the app just tracked that information for you like it does every other metric, but until that happens, if it happens, this is a pretty basic workaround.