Organisations often know how much space they own and how many people are assigned to it. They know much less about how that space is actually used hour by hour and day by day.
A manual occupancy survey closes that gap through structured observation. Surveyors walk the workplace at planned intervals and record whether desks, rooms and other spaces are occupied, available or showing another defined state.
What makes the survey 'manual'?
The observation is made by a person rather than a permanently installed sensor. That does not mean the workflow needs to be paper-based. Digital capture can give the surveyor a floor-by-floor model, a defined route and a consistent set of responses while keeping the study temporary and flexible.
Why organisations use manual studies
- Test whether apparent capacity problems are real
- Understand hybrid attendance and peak demand
- Identify underused desks, rooms and shared areas
- Support consolidation, redesign or expansion decisions
- Create evidence before investing in permanent technology
What the data can reveal
The useful metrics depend on the study, but typical outputs include average and peak occupancy, utilisation by day or time, repeated underuse, room demand and differences between assigned capacity and observed use.
Those patterns are more useful than a single headline percentage. A facilities team needs to know where and when the pressure occurs so it can choose the right operational response.
Manual versus continuous measurement
Manual surveys are well suited to defined questions and time-bounded studies. Continuous sensors can be useful when an organisation needs ongoing measurement at scale. The two approaches are not mutually exclusive; a short manual study can establish the problem before deciding whether continuous monitoring is justified.
Digital-first manual studies
SiteIQ Schematic was built to remove the administrative weakness of traditional occupancy studies. The workplace is modelled digitally, observations are recorded against the correct space and time, and the resulting dataset can be analysed without rebuilding field notes in spreadsheets afterwards.