Understanding your workplace, is not only understanding the trends in your workspaces, but also your meeting rooms. This report zooms in on the meeting room occupancy and helps you understand the occupancy of your meeting rooms. Similar to the desk occupancy, the meeting room sensors can detect the occupancy within a meeting room. Depending on the type of meeting room sensor, more information on the occupancy can be shared (e.g. people count).
Occupancy based on sensor data
Desk occupancy is currently only based on desks that have a desk sensor associated with the desk. If you don't have a sensor integration active in your subscription, you will not be able to see this page!
The meeting rooms occupancy report can be seen by the following administrator roles:
- Subscription Owner
- Subscription Administrator
- Building Administrator
- Booking Administrator
- Analytics Viewer
|Building||Multi-select||Filter on a specific or multiple building to drill down on it further.|
|Floor||Multi-select||Similar to building but on floor level. Note that if you have a building selected already you will filter on that floor specifically.|
|Meeting room||Multi-select||Filter on specific meeting rooms available in your building(s).|
|Hours||Multi-select||Let you define the time period of a day you are interested in. You can for example filter out nighttime.|
|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.|
The key numbers give a quick overview on the occupancy level of your meeting rooms. Find a brief explanation on all of them below.
Meeting rooms with sensors installed
This number shows the actual number of sensors that are installed and sending data to Mapiq.
Number of meetings rooms used less than 10% of the time
This number indicates the count of meeting rooms that were utilized less than 10% of the time within your filtered settings of hours, week length, and period. In the following section, you can compare desks and identify the ones that are least used.
Percentage of time occupancy is higher than 75%
This number indicates percentage of times occupancy was higher than 75% within your filtered settings of hours, week length, and period. Example: if in two hours one hour all rooms were occupied and the next hour none, then this number will be 1 hour (higher than 75%) / 2 hours (total hours) = 50%. In the following section, you can compare meeting rooms and identify the ones that are most used.
Lowest percentage of meeting room occupancy
This number represents the least utilized moment within your selected time range. This indicates the minimum occupancy level, which has never been lower than this percentage.
Average percentage of meeting room occupancy
The average percentage of desk occupancy is calculated by dividing the sum of the average per hour total occupied desks by the total number of sensors, by the total hours in the selected time range.
Peak percentage of meeting room occupancy
This number represents the most utilized moment within your selected time range. This indicates the maximum occupancy level, which has never been higher than this percentage.
Where is it most busy?
Occupancy per location
In the graph you see the average percentage of time that a meeting room is occupied as measured by the sensor compared to the total time available. Total time available is defined as 9:00AM - 6.00PM. The occupancy data is calculated by first averaging the occupancy for a meeting per hour. That average is then averaged of the hours of the workday and finally the workday is averaged over the set period (depending on your Week length filter Saturdays and Sundays can be in- or excluded).
With the compare buttons in at the top of the graph, the report allows you to compare data at different levels (building, floor, area, or desks). Note that the graph is always sorted by average in descending order. If you select the Floor view within your graph the average occupancy of all the meeting rooms in all the floors is given. Meaning all first floors of all buildings active based on your selected filters. Other views available to you are Building and Meeting room. Choose on what you want to compare.
Filter for correct visualization
If you have selected the Meeting room view in the graph, it displays all the meeting rooms of all buildings. Filtering (on the right side) can help you to visualize the graph in these situations.
The blue bar shows the average percentage of meeting room occupancy and is visualized with a label. You can hover over the red line to view the percentage of the maximum occupancy. By maximum occupancy the highest percentage of occupancy that has been measured during one hour of occupancy in the selected period is meant. For example, let's say a meeting room was occupied between 1.00PM - 2.00PM on any given day, but empty the rest of the time, it will show a maximum of a 100% based on the occupancy between 1.00PM and 2.00PM.
People count sensors
In case you have people count sensors active for your meeting rooms the visualization is slightly different. With people count sensors the total number of the average occupancy, is the sum of individual occupancy buckets. The total number is divided into the following four buckets:
- Below or at 50% capacity
- Between 50-75% occupancy
- Between 75-100% occupancy
- Above 100% capacity.
For example, if you have a meeting room with a capacity of 10 and 5 or fewer people are counted in the defined time period in the room, the occupancy will be put in the below or at 50% capacity bucket. Likewise, if the same meeting room is occupied by 15 people, it will show in the above 100% capacity bucket. Be mindful of the filters here. When you filter on, for example, Floor the graph will adjust accordingly.
What types of rooms are most occupied?
Occupancy per meeting room capacity in number of seats
This view is similar to the Occupancy per location view, but instead of visualizing it per building, floor or meeting room, this graph visualizes it per room capacity. In case you have multiple rooms with a capacity of six, you would see the average occupancy of all these room in the bar with the 6 label. Note that you can not easily determine which rooms are in what capacity bucket. The report only shows the capacity you set in your meeting room configuration. Of course, active filtering (building or meeting room filters) will limit the number of meeting rooms used in the graph and thus allowing you to identify the most popular and least popular sized rooms. In case people count sensors are available to you, you can also compare the intended size with the actual size.
When is it most busy?
Occupancy over time
The Occupancy over time graph will show you the percentage of meeting room occupancy on a specific date. Be aware of selected filters. This graph will also show the current week and the historic weeks (based on the Period filter) in which the meeting rooms have been occupied. The week length is dependent on the filter Week length.
You can also see a trend line. The trend line indicates your occupancy based on the selected period time frame. The trend can indicate to you whether it is getting more- or less busy in one glance. The trend line is (quite) responsive to your active filters.
Occupancy per day of the week
You can also zoom in on the average percentage of occupancy for meeting rooms per day of the week, providing insights into the usage patterns of your meeting rooms throughout the week. Again, in this graph the red line again indicates the maximum occupancy of the meeting rooms and not maximum capacity. Also, the days that are shown are dependent on the filter Week length.
Occupancy over the course of the day
The last graph shows you the meeting room occupancy over the course of the day. Following the example given earlier, if a meeting room was occupied between 1.00PM - 2.00PM on a given day, but empty the rest of the time, it will show a maximum of a 100% based on the occupancy between 1.00PM and 2.00PM at 1.00PM in the graph. The rest of the day will show as 0% occupied. In case filters include multiple meeting rooms, the occupancy over the course of the day will be shown for the average of all selected meeting rooms.