Dwell Time

Dwell Time is a primary data set available from Occuspace that reports the amount of time people spend in your spaces. We define Dwell Time as the amount of time - in minutes - spent by people in a space each time they visit. Similar to Occupancy, we calculate and report two data points: Average Dwell Time and Peak Dwell Time. Note - we exclude transient visitors by only considering people who visit and stay for more than three minutes in a given space.

Dwell Time is a daily metric. Occuspace calculates the total Dwell Time for the previous day once that day ends.

Dwell Time data is available 24x7x365 via the Occuspace Portal in the "Analytics" section which provides you with access to all of your data collected since installation. You can also access this data programmatically from the Occuspace Customer API.

Dwell Time Data Points

Dwell Time is the amount of time people spend in a space per visit, and - like Occupancy - can be aggregated up a customer's space tree, and reported over time.

Occuspace reports Dwell Time in two specific ways:

• Average Dwell Time - The average amount of time people spend per visit to a space

• Peak Dwell Time - The largest amount of time people that were in the space in a given visit

The Analytics module of the Customer Portal as well as the Occuspace API allow you to retrieve Dwell Time data points for any of your covered spaces. The data points that are available in these interfaces will have each of the two attributes described above.

Data Reporting Intervals

The Occuspace Portal visualizes Dwell Time data in daily intervals.

Neighborhood Level Data Breakout

Dwell Time data is continuously collected and reported daily for each of the spaces in the neighborhood breakout that was defined and implemented during your on-boarding and installation. This neighborhood breakout maps to a hierarchy for how you manage your own business and real estate (e.g. by department or business group). The Occuspace Portal allows you to view your Dwell Time data for any of these neighborhoods, and critically, compare Dwell Time across them.

You can also compare the Dwell Times of your spaces with up to five other spaces (or compare the Dwell Time data of one space against previous time ranges in the past for itself) using the Compare To functionality in the Analytics module.

Comparing Dwell Times across various spaces shows in this case that the Breakroom consistently sees materially lower Dwell Times on Fridays, wheres the Cafeteria and Fitness Center are much more consistent day-to-day

By dissecting Dwell Time trends and patterns within defined neighborhoods, businesses can unlock a deeper understanding of how each of their spaces is being utilized over time. This granular approach enables more strategic and evidence-based decisions concerning space allocation, optimization, and future planning. It facilitates a more nuanced approach to managing space, allowing you to identify underutilized areas, predict peak usage times, and adjust resources accordingly.