For years, teams have relied on time utilization studies and visual observations to understand space utilization.
For years, teams have relied on time utilization studies and visual observations to understand space utilization. While these methods offer a human touch, they come with their own set of limitations, especially in a landscape that increasingly values real-time data and scalability. With technologies like Density now available, it’s worth asking: Can traditional methods keep pace, or is it time for a more modern, data-driven approach?
Below we provide you with a comprehensive comparison between Density and time utilization studies , so you can decide what's best for your evolving workspace needs.
Density: Density sensors utilize advanced 3D sensing and machine learning algorithms to count people entering, using, and exiting spaces. Not only does it give you an accurate count, but it also provides peak occupancy data, all while ensuring complete anonymity.
Time utilization studies: This traditional method involves people physically monitoring the usage of a space. While it's possible to gather some level of data, the manual approach is often time-consuming and less accurate.
Density:
Time utilization studies:
Prior to using Density, one of our customers had historically brought in an outside team of specialists every quarter to measure occupancy and utilization at their Los Angeles-based headquarters.
The yearly cost of these studies neared $750,000 — for one location. With nearly two dozen offices worldwide, it didn’t make sense for our customer to measure their entire portfolio with time utilization studies.
Manual methods like time utilization studies may seem appealing due to their simplicity. But they are not scalable and are prone to various forms of error, making them less reliable than tech-based solutions.
For teams committed to making data-driven decisions that will significantly impact employees and budgets, the high accuracy, scalability, and real-time capabilities of Density make it the go-to choice for understanding space utilization.
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