The Account Analytics Overview page is a one-stop shop to get a high-level overview of what is going on in the Account. From reporting stats (number of users, total number of videos viewed, etc.) to a Leaderboard of the top 10 most active users, a lot of high-level engagement questions can be answered in the Account Analytics Overview.
Who is this article for?
Based on the default user settings in the Sibme platform, you should have permission to complete this task if you are one of the user levels listed below. If you do not see the screens in this article, you can ask your Sibme account administrator if you have permission.
- Super Admin
- Account Owner
- Admins (can see overview data for users in their huddles)
Steps to accomplish the task:
If Account Analytics have been turned on in the Account, then Account Owners and Super Admins and Admins will be able to go to the Analytics area of the platform. If Analytics are not enabled and an Account Owner would like to have access to them, then they can be turned on in Account Settings. Admins can also be given access to Account Analytics via Account Settings. Otherwise, Admins will only have access to see the overview for other users in Huddles in which they are participating.
To get to Analytics, click on Analytics from the menu bar.
This will take you to the Overview page for Account Analytics.
There are two parts to the Account Analytics Overview page: Account Activity and Account Leaderboard. This article will focus on the Account Activity section. More information on the Leaderboard can be found on the Leaderboard Help Article.
The Account Analytics Overview section gives a high level view of what is happening in the Account. Twelve key engagement figures are provided to give a picture of Account activity.
The sum of all Account Owners, Super Admins, Admins, and Users whose accounts have been activated.
The sum of all Account Owners, Super Admins, Admins, and Users who have done something other than logging into Sibme. Simply logging into Sibme will not make a user active. They must do something else once they’ve logged in.
The sum of all Huddles created in the account.
Total Videos Uploaded
The sum of all videos uploaded to all Workspaces, Huddles and the Video Library.
The sum of all comments made on all videos.
The sum of times any person in the account has clicked the video play button on a video.
Video Hours Uploaded
The sum of video hours uploaded to all Workspaces, Huddles, and the Video Library.
Videos Hours Viewed
The sum of hours any person has viewed a video. This is calculated 10-seconds at a time. So a video must be viewed for at least 10-seconds to be calculated.
The sum of times someone has gone live in a Sibme Live session.
Live Hours Streamed
The sum of Hours someone has streamed in a Sibme Live session.
Live Hours Viewed
This number is different from the previous metric because a Sibme Live session might have multiple viewers. So if a Sibme Live session lasts 1 hour, and 3 people view the entire session, Live Hours Viewed would be 3 hours.
Total Live Viewers
The sum of people in your account who have viewed a Sibme live session.
The data shown in the tiles are pulled based on the settings set in the filter bar.
By default, all Huddle types are selected to be shown. The 6 Huddle views reported on are:
- Assessment Huddle
- Collaboration Huddle
- Assessment Huddle - Assessor View
- Assessment Huddle - Assessee View
- Coaching Huddle - Coach View
- Coaching Huddle - Coachee View
The default time frame is set for the past 12 months. You can change the Huddles that overview data reports from and the timeframe from the filter bar. You can also add a Framework to be analyzed by clicking on the Choose Framework dropdown. Only the Frameworks used in the Account will be shown. However, Framework data will not show on the Overview tab. Be sure to click the Update button when changing attributes on the filter bar.
The Account Analytics Overview is a great place to get a summary of what is happening in the Account. It is also a great place to use the filter bar to begin slicing and dicing the data to dig deeper into the data.