The Employee behavior tab. It is a single report, and you will learn everything to know about the behavior of your employees. The number of users in your environment, the number of active users and their connections. Additionally, and it provides you with insights on how employees are interacting with working in a hybrid environment and with one another.
Applies to
The employee behavior report can be seen by the following administrator roles:
- Subscription Owner
- Subscription Administrator
- Building Administrator
- Booking Administrator
- Analytics Viewer
Applicable filters
The following filters are active for this report.
Filters | Selection type? | Description |
Week length | Single-select | Determines whether you compare a full week (seven days) or only on a workweek (five days). Note that this filter is not applicable to all graphs! |
Period | Single-select | A filter to determine the period in which you want to evaluate your data. Filters vary from since the beginning of the year all the way back to 2021. |
Key numbers
Also on the employee behavior report, you'll find key numbers to give you insights of the numbers. To clarify them find the descriptions below.
Active user
A user is considered active when they have logged in within the defined time period.
Total number of users
All users that have logged-in, or have been uploaded to Mapiq, excluding all deleted users. Users can be deleted manually or the retention setting. For more information you can check this article Deleting users from Mapiq.
Number of active users per week
Users that have logged in at least once during your selected time range.
Current adoption rate
The current adoption rate is the number of active users divided by the total number of users.
Average weekly retention rate
The weekly retention rate is calculated by dividing the active users of the week by a 100%. That number is multiplied with the number of the active users that will be active (created a booking) in the next week. The average weekly is then calculated by your weekly retention divided by the count of the weeks in your time range.
People connected
The number of people connected is the number of connections made divided by two. As a connection consists out of two people.
Average connections per active user
The average connections per active user is calculated by dividing the number of active users by the number of connections.
Average usage of bookable workspaces
It is calculated by dividing the average booked workplaces by the total workplaces.
Number of guests that have booked X workspaces
Number of guest for whom a workplace has been booked
How often do employees come to the office?
Number of times employees come to the office per week
This graph shows the number of workdays per user per week. Users are placed in the corresponding weekly bucket based on the number of workdays booked, which may result in a user being counted in multiple buckets if the selection spans multiple weeks. For example, if a user books 2 workdays one week and 4 workdays the following week, they will be counted in both the 2-days and 4-days buckets.
When do employees decide to work at the office?
Days in advanced workspaces are booked
The graph already speaks for itself, but to clarify, it shows you the behavior on how far in advance users make their booking. This behavior can be impacted quite a bit on your booking policy. Workspace quota profiles, for example, dictate how far ahead you can book. Keep that in mind when looking at this graph.
How many times a week do employees work at the office?
Booked workspace per profile
The bars in this graph are divided into two categories, Bookings and Unused bookings. As expected, it tells you if your employees used their quota to their fullest potential. For example, if there are two users with a 5-day quota and one books 2 days while the other books 4 days, the average will be 3 days. If the selection spans multiple weeks, the averages will be calculated on a weekly basis. This graph is also a big indicator on the number of people that work remote.
Profile properties
The profile properties are self-explanatory and is a summarization of all your workspace quotas configured in on the Access tab in the admin portal. By having it here, you don't need to go back and forth between tabs and administrators that have no insights in the configuration (Analytics Viewer) have a better understanding of how the other graphs are impacted. A brief explanation on the different columns can be found below.
Week quota
The number of days a user is allowed to reserve a workspace (outside the workspace quota the user can still reserve a workday without a workspace).
Book in advance quota
The days in advance a user is allowed to book.
Total users
Uploaded or logged-in users minus deleted users.
Bookable workspaces
The week quota of that profile multiplied by the total users