Data and the design of spaces
Occupancy data provides valuable insight into how workspaces are used by employees. They can help organizations, and their designers, understand space usage trends. By using this data, organizations can tailor their work environments to meet employee needs, optimize space utilization and ultimately reduce costs and make places more efficient.
Ours is a system that measures occupancy data with wireless accelerometric sensors, fitted to furniture and various equipment; chairs, tables, benches etc. These sensors can be discreetly installed in offices, meeting rooms, collaboration spaces and other areas to collect accurate and anonymous data on space utilisation. Designers design a workplace based on their experience, but how do you know if employees are really well served? Workspaces must be very efficient now to attract employees to come to work in the office. A feedback loop to know what users are doing is incredibly helpful in validating the various concepts and offerings in a workplace.
Is it complicated?
Our patented system works by using small sensors that measure the movement of furniture and equipment in the workspace in real time. Wireless accelerometer sensors are fitted to each object and detect changes in the position and orientation of objects. These sensors then transmit the data through a router to the central server which collects and analyzes the information to provide detailed reports on the use of the space.
The data collected may include information on the location of the resource on the floor, the number of people in a given area, the duration of their presence, the peak hours of use of the space and other key indicators. We are here to present you with the data organised into a report with our learnings and recommendations.
Our system is advantageous because it allows an easy and discreet installation, without requiring wiring, and we accompany you until your questions are answered.
What can we learn?
By looking at the data, we can discover that users do not use closed offices as much as we thought or large conference rooms, for example. You might then decide to transform the space to better suit the current needs of employees. Likewise, analyzing occupancy data can help identify peak usage times for different spaces, which can enable businesses to optimize the use of available space.
Occupancy data is particularly important in the context of hybrid working modes, as it helps to identify the frequency of use of reserved and utilised resources, but particularly interesting to learn how to make the spaces more attractive and efficient. These days, organizations want to make sure the rent is worth the expense, both for the user experience and the organization as a whole.