# Login/Logout reports for agents in Connect Customer
The Login/Logout report displays the login and logout information for the users in your contact center (for example, agents, managers, and administrators). For each user session, the login and logout times are displayed as a row in the report. You can use the report to determine the time users were logged in to Connect Customer. The report also displays the amount of time for each session that user was logged in to Connect Customer.
**Topics**
+ [Why your Login/Logout report may appear incorrect](#login-logout-incorrect)
+ [Report limit: 10,000 rows](#login-logout-considerations)
+ [Required permissions](#loginlogout-report-permissions)
+ [Generate a Login/Logout report](#loginlogout-report-generate)
+ [Edit a Saved Login/Logout Report](#loginlogout-report-edit)
+ [Download a Login/Logout report as a CSV file](#loginlogout-report-downloadcsv)
+ [Share a Login/Logout report](#loginlogout-report-share)
+ [Schedule a Login/Logout report](#loginlogout-report-schedule)
+ [Delete a Saved Login/Logout report](#loginlogout-report-delete)
+ [Tag-based access controls](#login-logout-tag-based-access-control)
## Why your Login/Logout report may appear incorrect
You may observe that the data in your Login/Logout report appears incorrect. For example:
+ The report doesn't show any data, or is missing data, even though everyone on your team is logged in.
+ The report shows users are logged in although you know they are **Offline** and their CCP window is closed.
These issues are usually because users are not actually logged out. They aren't choosing the **Logout** button. For example, they may be changing their status to **Offline** and then closing their CCP window.
To log out, in the CCP or the agent workspace, they need to choose **Settings**, scroll down the page, and choose **Logout**. These buttons are shown in the following image.
A few other reasons a report may appear incorrect:
+ The report includes login and logout events that occur within the specified time range. If a user logs in and out outside of that time range, those events will not be captured in the report.
+ In an SSO scenario, if agents are automatically logged out due to session timeout, or if they simply close the browser without choosing the **Logout** button, those logout events will not be registered in the report. The report only captures explicit logout actions performed by the user.
## Login/Logout report limit: 10,000 rows
+ If you try to generate a Login/Logout report that has more than 10,000 rows, it won't complete.
+ The Login/Logout report page displays only 10,000.
+ If you schedule a Login/Logout report that contains more than 10,000 rows, the report will fail. In addition, no report output will be saved to your S3 bucket, and you cannot view the report.
+ If you have a contact center with a lot of users, and your reports fail to complete, you can specify a shorter time range to reduce the size of the report generated, or apply filters to the report, such as routing profile and agent hierarchy. You can then use other filters to capture all of the login/logout data for your instance.
## Required permissions to access the Login/Logout report
Before you can generate a Login/Logout report, you need the following permissions assigned to your security profile: **Login/Logout report - View**.
By default, the Connect Customer **Admin** security profile has these permissions.
For information about how to add more permissions to an existing security profile, see [Update security profiles in Connect Customer](update-security-profiles.md).
## Generate a Login/Logout report
A Login/Logout report includes only login or logout actions by your users that occurred during the specified time range.
+ If user logged in during the time range and did not log out, the report shows a login time but not a logout time.
+ If the user logged in before the start of the time range, and then logged out during the time range, the report shows both the login and logout times even though the login occurred before the start of the time range. This is so you can view the duration of the user session associated with the most recent logout.
**To generate a Login/Logout report**
1. Log in to the Connect Customer admin website at https://{{instance name}}.my.connect.aws/.
1. Choose **Analytics and optimization**, **Login/Logout report**.
1. On the **Login/Logout report** page, choose the **Time range** for the records to include in the report. Choose **Custom time range** to specify a range up to 7 days. This configuration is shown in the following image.
1. Choose the **Time zone** to use for your report.
1. To filter data included in the report, for **Filter by**, choose a value.
1. Choose **Generate report**, **Save**.
1. Provide a name for the report, and choose **Save**.
## Edit a Saved Login/Logout Report
After you save your report, you can edit it at any time. When you open a saved report, the time frame and date range displayed show the date and time defined when you saved the report.
**To edit a saved Login/Logout report**
1. Log in to the Connect Customer admin website at https://{{instance name}}.my.connect.aws/.
1. Choose **Analytics and optimization**, **Saved reports**.
1. Choose **Login/Logout report** and select the report to edit.
1. Update the **Time range**, **Time zone**, and **Filter by** settings.
1. To overwrite your existing report, choose **Save**.
1. To save the changes as a new report, choose **Save**, **Save as**. Provide a name for the report and choose **Save as**.
## Download a Login/Logout report as a CSV file
When you have generated a report, you can download it as a comma-separated value (CSV) file so that you can use it other applications to work with the data, such as a spreadsheet or database.
**Important**
Only the data that is displayed on the page is downloaded into the CSV file.
For example, if you're displaying a page with 25 rows and there are 26 results, the downloaded CSV file will include only rows 1-25. You need to increase the **Rows per page** to include all results.
**To download a report as a CSV file**
1. Open the report to download.
1. On the **Login/Logout report** page, at the top right corner, choose the **Share report** menu (arrow) next to **Save**.
1. Choose **Download CSV**. The file `Login_Logout report.csv` is downloaded to your computer.
## Share a Login/Logout report
To make the report available to other people in your organization, you can share a report. People can access the report only if they have appropriate permissions in Connect Customer.
**To share a Login/Logout report**
1. On the **Login/Logout report** page, at the top right corner, choose the **Share report** menu (arrow) next to **Save**.
1. Choose **Share report**.
1. To copy the URL to the report, choose **Copy link address**. You can send the URL to others in your organization by pasting the link into an email or other document.
1. To publish the report to your organization, for **Publish report to organization**, move the toggle to **On**.
1. Choose **Save**.
## Schedule a Login/Logout report
To generate a report with the same settings on a regular basis, you can schedule the report to run daily or on specific days of the week. Note that *scheduled* Login/Logout reports work differently than Login/Logout reports you [generate](#loginlogout-report-generate) from the user interface for a specified time range.
### Important things to know
+ When you schedule a report, it is automatically published to your organization. Anyone with appropriate permissions can view the report. Users with all permissions for Login/Logout reports can also edit, schedule, or delete the report.
+ For scheduled Login/Logout reports, the trailing window value is always the last 24 hours.
+ A scheduled report always runs at 12AM on the day you select, in the time zone that you choose.
For example, if you select Wednesday, the report runs at midnight Wednesday and does not include any data for Wednesday.
+ Scheduled reports are saved as CSV files in your Amazon S3 bucket. The default time zone is UTC. To have your report run at 12AM in your local time, choose your time zone instead.
+ To email a scheduled report to a list of co-workers, you need to generate the email manually using your messaging system. Connect Customer doesn’t provide an option to email the scheduled report automatically.
### How to schedule a Login/Logout report
1. If you already have a saved report to schedule open, skip to step 4. Otherwise, in the dashboard, choose **Analytics and optimization**, **Dashboards and reports**.
1. Choose **Login/Logout report**.
1. Hover the mouse pointer over the row containing the name of the report to schedule, and choose the **Schedule report** icon.
1. On the **Schedule report** page, under **Recurrence**, for **Generate this report**, choose whether to generate the report **Daily** or **Weekly**.
1. If you choose **Weekly**, select the day or days of the week on which to run the report.
1. Choose the **Time zone**.
1. To add a prefix to the S3 path to the saved report, choose **Delivery Options** and enter a value in the **Prefix** field.
The prefix is added to the path between /Reports and the report name. For example: .../Reports/{{my-prefix}}/report-name-YYYY-MM-DD…
1. Choose **Create**.
After you schedule a report, you can change or delete the schedule for it at any time.
**To edit or delete the schedule for a report**
1. Follow the steps in the preceding section to open the **Schedule report** page.
1. To edit the schedule, choose **Edit**, update the **Recurrence** and **Delivery Options** as desired, and then choose **Save**.
1. To delete the schedule for the report, choose **Delete**, and then choose **Delete** again on the confirmation dialog.
## Delete a Saved Login/Logout report
Too many reports in your report library? If you no longer want to use a saved report, you can delete it. When you delete a report, you are only deleting the settings for the report, not any reports that have already been generated using those settings. No CSV files created from a scheduled report are removed from your S3 bucket.
**To delete a saved Login/Logout report**
1. Open your Connect Customer dashboard.
1. Choose **Analytics and optimization**, **Saved reports**.
1. Hover over the row for the report to delete, and choose the **Delete** icon.
1. Choose **Delete** again.
## Tag-based access controls on the Login/Logout report
To use tags to control access to users on the agent Login/Logout report, you must first configure user and routing profile resource tags, resource permissions, and tag based access controls, see [Apply tag-based access controls to dashboards and reports in Connect Customer](dashboard-tag-based-access-control.md). For more information on tagging resources and tag-based access control in Connect Customer, see [Add tags to resources in Connect Customer](tagging.md) and [Apply tag-based access control in Connect Customer](tag-based-access-control.md).
After your resource tags, access control tags, and permissions have been appropriately configured, you will have access controls applied to users for the Login/Logout report.