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.
- 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,
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.
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).
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).
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).
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.