Want to know if your users are sleeping better now than they have been in the past? 

Analyze helps you focus on your most chronically fatigued users. Now with Trend, it's easier than ever to see who's improving, who's not, and who's regressing. 

The number under trend can be understood as: The change in average Alertness/Effectiveness Score when comparing the most recent data to the older data in the date range you chose. 

So if you see a +2, then the average Score has gone up by 2 points. If you see a -2, then the average Score has dropped by 2 points, and a grey "0" means there was no change. 


How are trends calculated?

You need to select a date range of at least 14 days of data with a Score. The number in the Trend column is calculated using the average Score in the most recent half of the date range, minus the average Score in the other half of the date range. This means you’ll need to have Alertness/Effectiveness Score data in both halves of your date range for this calculation to work. 

For example: If you select the date range Feb 1-28, the average Score from Feb 1-14 is compared to the average Score from Feb 15-28. 

Average Score from Feb 15-28  - Average Score from Feb 1-14 = Trend number
 

As long as there are 14 days of Alertness/Effectiveness Scores within the date range you select, with Score data in both halves of the date range, you’ll see a number in this column. Otherwise, you’ll get a “-”, meaning Trend couldn’t be calculated.

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