Understanding the User Level Chart

The User Level Chart is designed to show patterns in Atlassian usage, with the information that is available by default from the product. This means that you can install User Management into a mature Jira or Confluence environment and immediately see the last few years of usage history.

It also includes a feature to be able to simulate the effect on your user level if a Scheduled User Action had been running for the last year, based on a certain number of days of inactivity.

Here is what the report initially looks like when run against our Service Desk:

What does it mean?

We have a busy service desk, which we have been running for many years. When a user creates a request, a new user is created in Jira, but they may never log in (since the request was generated by email), or may not log in after the request is completed. So you can immediately see the large number of users who have never logged in (red), or who haven't logged in for quite a while (purple). That leaves the green section - users who have logged in since the given date.

The User Level chart measure active user records, not licensed users - so shows the number of people who could log in at a given point in time. For a service desk, this may be much higher than the number of licensed users.

Simulated a Scheduled deactivation:

You can simulate the effects on the number of active users, if you have been running a regular, scheduled deactivation over the last year. The options are based on either 30 or 90 days of inactivity. For example if you select 30 days of inactivity, users will be shown as active from the date they were created, until 30 days after their last login (or 30 days after they were created if they never logged in). You can select these options from the drop down on the right of the page.


 

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