This article provides an overview of the key metrics Butlr Dashboard provides related to space utilization and occupancy tracking. These metrics are crucial for understanding how spaces are being used and optimizing their management.
Capacity
Definition: The maximum number of occupants a space can accommodate.
Purpose: Helps determine the space's intended usage limits and capacity planning.
Tags
Definition: Custom metadata associated with a space.
Purpose: Tags help categorize and organize spaces based on specific characteristics, such as type, usage, or functionality, making it easier to search and manage spaces.
Average Occupancy (When Occupied)
Definition: The average number of occupants in a space during its active use, excluding unoccupied periods.
Purpose: Provides insights into how much of the space is being used when occupied, offering a more accurate representation of actual usage.
Average Utilization (When Occupied)
Definition: The average occupancy when the space is in use, divided by the space's capacity, and multiplied by 100 to express as a percentage.
Purpose: This metric helps assess how effectively a space is being utilized relative to its capacity during its occupied periods.
Peak Occupancy
Definition: The highest number of occupants recorded during the entire selected time range.
Purpose: Identifies the maximum number of people present in a space at any point during the chosen period, useful for understanding peak demand.
Peak Utilization
Definition: The peak occupancy divided by the space's capacity, expressed as a percentage.
Purpose: Indicates the highest level of space utilization, helping assess whether the space is being used optimally at its busiest times.
Time Used
Definition: The total time a space was occupied, based on presence detection within the selected range, available through presence sensors.
Purpose: This metric measures how long a space is in use during the selected time range, helping track occupancy trends and manage space efficiently.
% Time Occupied
Definition: The percentage of time a space was occupied within the selected period, based on presence detection data.
Purpose: This metric reflects how often a space is in use during the chosen timeframe, offering insights into overall space activity.
Average Daily Time Used
Definition: The average time a space was used per day, calculated by dividing the total time used by the number of days in the selected range.
Purpose: This metric helps assess daily space utilization trends, providing a clearer picture of usage patterns over time.
Time Used By Group
Definition: The frequency with which the space was used by different group sizes during the selected period, based on presence sensor detections.
Purpose: Provides insight into how spaces are utilized by various group sizes, helping optimize space allocation for different needs.
Building Occupancy
Definition: The total count of occupants across all floors during the selected time range, detected by entrance traffic or floor presence sensors.
Purpose: Measures the overall occupancy of the entire building, offering insights into building-wide usage trends.
Conclusion
These space utilization metrics allow for a comprehensive understanding of how spaces are being used and help optimize their management. By leveraging this data, organizations can make informed decisions about space planning, resource allocation, and operational efficiency.
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