Skip to main content
All CollectionsBusiness DashboardInsights
Business Dashboard: space utilization
Business Dashboard: space utilization

Learn about the Space Usage Insights and how the presence algorithm works

Updated over a month ago

Space utilization

Curious about how your building and rooms are being used? Our space utilization insights can help you identify which areas are always occupied, which are underutilized, and whether your office layout needs adjustment. Discover long-term trends that reveal your building’s usage patterns, peak times, and the busiest days of the week.

To unlock Space Usage insights, ensure that Opening Hours are configured in your Building Settings. This step is essential for tracking accurate data on how your spaces are utilized during operational hours.

Space Usage Insights

Our space utilization insights are broken down into three categories:

Building usage trend

  • See how many of your spaces are used and identify the peak day and hour.

  • The blue bars show how busy it is in your building, the grey zones in the graph represent the opening hours.

Usage over time

  • In the calendar, you can observe busy and quiet days.

  • Click on a day to see which rooms have been in use.

  • Dive deeper by selecting a room and viewing its usage graph for that day.

Usage by space

Sensor algorithm

The underlying algorithm uses all sensors and some metadata to calculate presence and occupancy. It analyses the room over long periods of time to improve the virtual sensor’s performance. The algorithm also needs a minimum of 8 hours of data without gaps to show the virtual sensors.

The accuracy of the data depends on multiple variables, including:

  • Device placement

  • Room shape

  • Size vs number of people in the room

  • Ventilation system and temperature gradients (mixing of air)

As a result, the algorithm will work best for rooms where the air is mixed evenly for the device to register readings appropriately. Rooms with uneven mixing, such as meeting rooms with open doors or corridors will have less accurate results.

The data will only show if someone was present in the space and is not sufficient for identifying individuals. These sensors will not give real-time presence data such as signaling if seats are in use or not. The sensor is also unable to say if a room is at full capacity.

Did this answer your question?