User details

Dynatrace can typically show all the sessions of each individual user, even when those sessions are anonymous or when a user tag has changed or gone missing. For mobile apps, Dynatrace stores a user identifier within the application scope, so the same user can be identified on the same device. For web applications, this is achieved by storing a persistent cookie within each user’s browser that enables Dynatrace to assign even anonymous user sessions to identified users. As long as a user has signed in to your application at least once, you can search for and identify that user, even if the user accesses your application via anonymous sessions. This is helpful in situations where a user can’t sign in due to an issue with an authentication service.

Focus on the sessions of a single user

On the User details page (available by selecting a user from the User sessions page), you can find a list of all the sessions of a particular user, the devices this user has used to access your applications, which applications the user accessed, and an overview of the user's profile.


You can further refine your analysis of the sessions of an individual user by using filter attributes in the filter field, or by enabling Extended users. See Extended users for details.
Select any session in the list to view the details of that session, including all user actions and events displayed on a timeline. Here you'll find session details, including Operating system, device Manufacturer, User tag, IP address, and more.


Analysis chart

  • The X-axis of the Analysis chart shows when the actions occurred during the session, the duration of the action (how long the "dot" is), and the wait time between each action.
  • The Y-axis indicates the user action type (for example, XHR action or Load action) or event type (for example, Crash event, User tag event, or Mobile event).


Hover over a specific action to get a quick summary of the action. Click a specific action to start replaying the action (if Session Replay has been recorded on the session) or to see more details as shown below.



Following are examples of session analysis for a single user.