Teams User Activities Test

In an Office 365 environment, users comminucate using Microsoft Teams through different means such as private chat messages, team chat messages, attend meetings, perform different actions such as liking, searching for messages, sharing files etc. To be able to efficiently audit the user activities on Microsoft Teams and identify the activity type that is most commonly used by the users for communication, eG Enterprise offers the Teams User Activities test.

For each activity type performed on Microsoft Teams in the past one day, this test reports the count of unique users communicating via private team chat messages, team chat messages, meetings, calls and other actions. The activity type that is most commonly used by the users is thus revealed to the administrators. The detailed diagnostics pinpoints administrators to the precise users who have communicated using each activity type. This helps administrators identify users who have been frequently using different activity types for communication in Microsoft Teams. Additionally, the count of private chat messages and team chat messages exchanged by the users, calls and meetings initiated by the users in the last one day can be identified. This helps administrators audit activity types on Microsoft Teams efficiently.

Note:

This test uses the Microsoft Graph API. Tests that use Microsoft Graph API may not start reporting metrics right away. Sometimes, they may go without reporting metrics for over 48 hours. This is normal behavior, and it occurs because, Microsoft does not collect/refresh the metrics as frequently as the test executes.

Target of the test : Microsoft Teams

Agent deploying the test : A remote agent

Outputs of the test : One set of results for the monitored Microsoft Teams

Configurable parameters for the test
Parameters Description

Test period

How often should the test be executed

Host

The host for which the test is to be configured. By default, this is portal.office.com

O365 User Name, O365 Password, and Confirm Password

For execution, this test requires the privileges of an O365 user who has been assigned the Service support admin role and is vested with the View-Only Audit Logs and Team administrator permissions. Configure the credentials of such a user against O365 User Name and O365 Password text boxes. Confirm the password by retyping it in the Confirm Password text box.

While you can use the credentials of any existing O365 user with the afore-said privileges, it is recommended that you create a special user for monitoring purposes using the Office 365 portal and use the credentials of that user here. To know how to create a new user using the Office 365 portal and assign the required privileges to that user, refer to Creating a New User in the Office 365 Portal.

Domain Name, Domain User Name, Domain Password, and Confirm Password

These parameters are applicable only if the eG agent needs to communicate with the Office 365 portal via a Proxy server.

In this case, in the Domain text box, specify the name of the Windows domain to which the eG agent host belongs. In the Domain User Name text box, mention the name of a valid domain user with login rights to the eG agent host. Provide the password of that user in the Domain Password text box and confirm that password by retyping it in the Confirm Password text box.

On the other hand, if the eG agent is not behind a Proxy server, then you need not disturb the default setting of these parameters. By default, these parameters are set to none.

Proxy Host, Proxy Port, Proxy User Name, Proxy Password and Confirm Password

These parameters are applicable only if the eG agent needs to communicate with the Office 365 portal via a Proxy server.

In this case, provide the IP/host name and port number of the Proxy server that the eG agent should use in the Proxy Host and Proxy Port parameters, respectively.

If the Proxy server requires authentication, then specify the credentials of a valid Proxy user against the Proxy User Name and Proxy Password text boxes. Confirm that password by retyping it in the Confirm Password text box. If the Proxy server does not require authentication, then specify none against the Proxy User Name, Proxy Password, and Confirm Password text boxes.

On the other hand, if the eG agent is not behind a Proxy server, then you need not disturb the default setting of any of the Proxy-related parameters. By default, these parameters are set to none.

DD Frequency

Refers to the frequency with which detailed diagnosis measures are to be generated for this test. The default is 1:1. This indicates that, by default, detailed measures will be generated every time the test runs, and also every time the test detects a problem. You can modify this frequency, if you so desire. Also, if you intend to disable the detailed diagnosis capability for this test, you can do so by specifying none against DD Frequency.

Detailed Diagnosis

To make diagnosis more efficient and accurate, the eG Enterprise embeds an optional detailed diagnostic capability. With this capability, the eG agents can be configured to run detailed, more elaborate tests as and when specific problems are detected. To enable the detailed diagnosis capability of this test for a particular server, choose the On option. To disable the capability, click on the Off option. The option to selectively enabled/disable the detailed diagnosis capability will be available only if the following conditions are fulfilled:

  • The eG manager license should allow the detailed diagnosis capability
  • Both the normal and abnormal frequencies configured for the detailed diagnosis measures should not be 0.
Measurements made by the test
Measurement Description Measurement Unit Interpretation

Unique users by team chat messages

Indicates the number of unique users who were sending/receiving chat messages within a team during the last measurement period.

Number

The detailed diagnosis of this measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Unique users by private chat messages

Indicates the number of unique users who were sending/receiving chat messages in private during the last measurement period.

Number

The detailed diagnosis of this measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Unique users by other actions

Indicates the number of unique users performing other actions during the last measurement period.

Number

Other actions is the number of other team activities by the user some of which include, and not limited to: liking messages, apps, working on files, searching, following teams and channel and favoriting them.

Unique users by meetings

Indicates the number of unique users who joined a meeting during the last measurement period.

Number

The detailed diagnosis of this measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Unique users by calls

Indicates the number of unique user who were on call during the last measurement period.

Number

The detailed diagnosis of this measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Team chat messages

Indicates the number of chat messages sent/received via teams during the last measurement period.

Number

 

Private chat messages

Indicates the number of private chat messages sent/received by the users during the last measurement period.

Number

 

Other actions

Indicates the number of other actions performed during the last measurement period.

Number

 

Meetings

Indicates the number of meetings conducted during the last measurement period.

Number

 

Calls

Indicates the number of calls handled during the last measurement period.

Number

 

The detailed diagnosis of the Unique users by calls measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Figure 1 : The detailed diagnosis of the Unique users by calls measure

The detailed diagnosis of the Unique users by meetings measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Figure 2 : The detailed diagnosis of the Unique users by meetings measure

The detailed diagnosis of the Unique users by team chat messages measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Figure 3 : The detailed diagnosis of the Unique users by team chat messages measure

The detailed diagnosis of the Unique users by private chat messages measure lists the name of the unique users, last activity date, count of private chat messages and team chat messages, count of calls and meetings attended/initiated, performed other actions, whether/not deleted any messages, date of deletion and the products assigned to the users.

Figure 4 : The detailed diagnosis of the Unique users by private chat messages measure