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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 applications, 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.

User detail

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.

Extended users

In Dynatrace, there are two ways to identify a user: through the device identifier or through the user tag. The concept of extended user covers use cases where multiple users or user tags share one device. Dynatrace creates segments of the clusters where the same user tags or device identifiers meet in different combinations. You can turn on these segments comprising different combinations when looking at a user on the user detail page.

Extended users

  • When you turn on Extended users, all information on the user detail page extends to cover all different combinations of the initial user and the user's relations to other devices and/or user tags.
  • When you turn off Extended users, information displayed on the user detail page consists exclusively of the data from the specific user tag and the devices used by that user tag. If there's no user tag, then the device identifier is used and only for that particular device. For details on how to configure user tagging, see Tag specific users for web applications.

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.

Sess detail

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 mobile actions, user identifier, and errors and annoyances (for example, Crash or Rage tap).

Xaxis

Hover over a specific action to get a quick summary of the action. Select 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.

Summary

Examples

Following are examples of session analysis for a single user.

Analyze the sessions of a specific user

Understand user behavior

To understand how user behavior analysis relates to customer satisfaction, it’s helpful to look at the distribution of the user experience score).

Score

Identify user sessions that have a high number of actions

You can sort the sessions list by Action count to find the sessions with the highest number of actions (the same goes for the other columns).

Action count

Find sessions of a specific user that resulted in errors or annoyances

When analyzing the user sessions of an individual user, you may want to know which sessions had an error or annoyance, or to look at the sessions that had the highest number of errors and annoyances combined (such as rage clicks or rage taps).

Get an overview of user activity during the day

When analyzing a user's behavior, it can be interesting to understand at what time of day the user is most active. For example, if a particular user is connected to both web and mobile applications, you can filter for either and see when they are connected throughout the day for the specific application type.

Session distrib