Let’s continue our look at the Fitbit App’s presentation of data recorded with a Fitbit Charge 3.

Last time, steps and HR data (and more). This time, the tracking of sleep data.

The Fitbit Charge 3 not only measures how long you have slept (or anyways, how long it thought you slept), but also, when and for how long you were in different stages of sleep.

A Note on Sleep Score

There is a sleep score feature coming, but it’s still in beta. Supposedly, this will finally start to make use of the SpO2 sensor (for blood oxygenation) to point out if there are any potential issues with sleep apnoe.

Sleep Data

Even without the sleep score, there is already a slew of data and helpful pointers.

Overview: Sleep Duration

For the beginning, again (as for steps, resting heart rate, etc.), there is an overview of the last 7 days’ data, here regarding how long you’ve slept.

Switching to fullscreen again keeps the display in vertical orientation, and again allows you to swipe into the past data and to switch to an overview for 1 week, 1 month, 3 months or 1 year:

Overview: Sleep Times

That top graphical view also lets you swipe to other overview data. One over, that is the comparison of sleeping times with the times planned and set up as sleep schedule:

So, I still have the Fitbit data set up as me wanting to go to sleep at 9 pm and to get up at 5 am. That is what the white vertical lines with the shading around them indicate.

The white horizontal bars show my actual sleeping times on the respective days (as the Fitbit Charge 3 recognized them).

For this display/data, there is no fullscreen expansion.

Overview: Sleep Phases

A third swipe in the top graphic display shows the sleep phases measured by the Fitbit Charge 3:

Fitbit differentiates (here) between REM, light and deep sleep. (The overview graphs below already start to show interruptions as well.)

Here, there is a fullscreen view again. That gives a more detailed and/or wider overview:

This presentation of sleep phase data can be shown for 1 week or 1 month; it also gives the average sleep duration at the top.

Daily Details about Sleep

Underneath the graphical display at the top, the list of the various days’ sleep data was already visible. Of course, one can scroll down that. Pick a day, and you get to more detailed data…

That screen shows the sleep times, followed by a graph of the sleep phases.

Then comes sleep duration in total (and that would again get a star if it were on target).

Next up, another view to sleep phases, this time with the time in each of the phases (and what percentages they constitute). We’ll get right back here in a moment.

At the bottom of that screen, finally, is a comparison of actual times you fell asleep and woke up with the plan (and an indication if that was “On Target” or not).

Graph of Sleep Phases

The sleep phases graph at the top again offers an expansion to full screen. There, one again gets helpful information and pointers:

The first screen only expands the graph and adds data on percent and absolute time in the different sleep phases.

Swipe over, and you get into the details. First of all, on times you were awake (according to the Fitbit Charge 3 having measured more motion than during sleep, anyways):

Or, one over, how long you were in REM sleep and what that is supposed to mean:

And the same for “light” sleep:

And for “deep” sleep:

Bar Chart for Sleep Phases

We had seen that bar chart of time in sleep phases in the middle of the day data…

This cannot only show the time (duration) that you were in the various sleep phases during that day (or rather, night…), but also some comparison data.

For one, a comparison with one’s own 30-day average:

And secondly, a comparison with a benchmark (average ranges for people of the same age group and gender):

This all goes into deep detail. Having explanations added makes it potentially very helpful, even more so when there are comparison values as well. This makes it relatively easy to get an impression of where you are standing yourself.

At the same time, you have to be willing to invest the time to engage as deeply with all that data as necessary to really learn from it…

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