How to Find Your Office's Top Slack User

Employees looking to identify the most active chatter in their workplace channels have a way to do so, despite the lack of a dedicated feature. Slack does not provide a presentation similar to Spotify Wrapped, but the platform's analytics tools offer a workaround. By following specific steps within the workspace settings, it is possible to generate a list of members sorted by total message volume.

The process requires access to the workspace's domain stats portal. Users can navigate to the Members tab and apply a custom date range to capture data for the full year. Sorting the results by 'Messages posted' provides the final answer. While this data identifies the most frequent users, it does not indicate the context of the messages, such as whether they are work-related or casual memes.

To begin the search for the organization's biggest slacker, users must first sign in to Slack via a desktop or browser. The next step involves locating the specific domain stats portal for the office. If the workspace URL is not immediately known, users can find it by hovering over the organization's name in the upper left-hand corner of the interface. This action reveals the proper workspace URL required for direct access.

Alternatively, users can bypass manually entering the URL by utilizing the drop-down menu. Clicking on Tools in the same menu provides an option for Workspace analytics. From there, the user must select the specific Workspace they wish to analyze, which is particularly relevant for those who may have access to multiple workspaces.

Once inside the analytics dashboard, the data must be filtered correctly to reflect the current year's activity. The Members tab is the primary location for this information. Within this section, users should locate the date range selector to customize the timeframe.

The specific steps to finalize the report are:

1. Click on the date range box.
2. Select Custom range to define the specific start and end dates for the year.
3. Ensure the view is sorted by total messages.

If the list is not automatically arranged in descending order, the user must click Messages posted to sort the column. This action will immediately rank users from highest to lowest message count.

After sorting the data, the identity of the top message sender becomes clear. This metric is useful for understanding communication patterns within the 2014-launched platform that has become ubiquitous in modern workplaces. However, the raw numbers tell only part of the story.

The data does not provide context regarding the nature of the messages. It cannot distinguish between essential project coordination and the latest memes. Furthermore, it does not identify who is the biggest offender of using @here notifications. Despite these limitations, the analytics provide a definitive answer regarding who consumes the most bandwidth in the notification feed.