Resources
Workplace analytics
Workplace analytics describes evaluating usage data from an office – bookings, check-ins, no-shows – to steer space, services and cost.
In short
Workplace analytics describes the systematic evaluation of office usage data: bookings, check-ins, no-shows, cancellations, visitor numbers and their distribution across floors and weekdays. The goal is not observing people but steering space, cleaning, services and investment based on real usage.
The difference between booking and usage
The most important distinction in this field is between reserved and used. A booking says somebody intended to come. Only the check-in proves somebody was there. The difference – the no-show rate – is often the most interesting metric of all, because it shows how much capacity is blocked by unclaimed reservations.
Metrics that actually carry decisions
Three matter in practice: peak day attendance as the basis for desk count, occupancy per area to identify unused space, and the no-show rate as an indicator that rules need attention. Everything else is useful but rarely decision-relevant.
The privacy question
Workplace analytics targets spaces, not people. Technically that is secured through anonymization periods and a role concept, organizationally through clear purpose limitation in the works council agreement. Organizations that do not draw that line early risk the whole initiative failing on codetermination.
From the definition to your own offices
Terminology is where an evaluation starts, not where it ends. Thirty minutes with the product open turns the concept into your floor plan.