TLDR
- Workplace occupancy sensors help organisations understand how spaces are actually being used, but different sensing approaches provide different levels and types of information.
- The right technology depends on the operational question being answered, from understanding footfall and space utilisation to enabling demand-led cleaning.
- Occupancy sensing is only one part of a smart workplace ecosystem. Platforms for cleaning task management, workforce visibility and occupant feedback perform different functions and should not be treated as interchangeable occupancy sensors.
- For FM, Estates and Procurement teams, the starting point should be the operational outcome required — not the technology itself.
What Are Workplace Occupancy Sensors?
Workplace occupancy sensors are technologies used to understand how and when different areas of a building are being used. Depending on the type of sensor and its location, they can provide information about footfall, occupancy patterns or the utilisation of particular spaces.
For FM and Estates teams, this data can help answer practical questions: Which areas experience the highest demand? Does usage vary significantly between days or floors? Are cleaning schedules still aligned with how the building is actually being used?
This is particularly relevant in hybrid workplaces, where historic assumptions about occupancy may no longer accurately reflect day-to-day demand.
However, not every workplace technology that provides operational visibility is an occupancy sensor. Task-management platforms, workforce technologies and occupant-feedback systems collect different information and solve different problems.
Understanding that distinction is important when deciding what technology an estate actually needs.
What Are the Different Approaches to Workplace Occupancy Monitoring?
The right approach depends largely on the level of visibility required.
Zone and Area Occupancy Monitoring
Occupancy sensors can monitor usage across areas such as washrooms, meeting spaces, communal areas or different workplace zones.
This can help identify patterns in demand and allow cleaning interventions to respond to actual workplace usage rather than relying exclusively on fixed schedules.
Samsic’s workplace sensor technology, for example, monitors how and when spaces are used, providing real-time reporting that can help operational teams identify changing demand patterns and support more responsive cleaning.
This approach may be particularly useful where:
- occupancy changes considerably throughout the week;
- different floors or areas experience significantly different demand;
- cleaning teams need better information about when intervention is required;
- FM teams want greater visibility across multiple locations.
Desk-Level Occupancy Sensors
A workplace desk occupancy sensor provides a more granular view by measuring whether individual workstations or desks are being used.
This type of information can support workplace and space-planning decisions, particularly in organisations operating hot-desking or hybrid-working models.
However, greater granularity does not automatically mean greater operational value.
If the objective is primarily to understand cleaning demand across washrooms, communal areas or workplace zones, desk-level information may provide more detail than the cleaning operation actually requires.
FM and Estates teams should therefore determine the level of information required before selecting the sensing approach.
Occupancy Data Is Only Part of the Picture
One of the common misconceptions around smart workplace technology is that every connected system is effectively another type of occupancy sensor.
It isn’t.
Occupancy data can tell an organisation how a space is being used, but additional technologies may be required to turn that information into an operational response, understand what frontline teams are doing or capture how occupants perceive the service.
Within Samsic’s technology ecosystem, these functions are supported by different technologies.
| Operational question | Technology approach | Samsic capability |
| How and when are workplace areas being used? | Workplace usage and occupancy monitoring | Samsic Sensor Technology |
| How should cleaning activity respond to demand? | Cleaning task and outcome management | PEGO |
| How are occupants experiencing the service? | Customer satisfaction and service feedback | TaqtOne |
| Where are frontline teams and how is work progressing? | Workforce visibility and communication | SENSE |
These technologies therefore shouldn’t be evaluated as competing occupancy sensors. They provide different layers of operational visibility and may be used individually or as part of a wider data-led service model.
How Does Occupancy Data Support Demand-Led Cleaning?
Traditional cleaning specifications often determine that a particular area should be serviced at predetermined intervals.
That approach may remain appropriate in workplaces with stable and predictable demand.
Where occupancy varies significantly, however, usage information can help operational teams understand whether cleaning resources continue to be deployed in the right places at the right times.
For example, increased use of a washroom or communal area may indicate that an earlier cleaning intervention is required, while consistently low utilisation elsewhere could provide evidence for reviewing how the cleaning specification is structured.
The objective isn’t simply to clean less.
It is to make cleaning activity more responsive to actual demand while maintaining the agreed service and hygiene standards.
How Do PEGO, TaqtOne and SENSE Fit Into the Picture?
Once the distinction between occupancy sensing and wider workplace technology is clear, the role of Samsic’s other systems becomes easier to understand.
PEGO: Turning Information Into Cleaning Activity
PEGO supports outcome-based and demand-led cleaning through task management, digital twinning, sensor integration and real-time service information.
Cleaning schedules, processes and specifications can be incorporated into operatives’ mobile applications, with notifications supporting responsive service delivery.
Building occupants can also report issues such as spillages and provide feedback, allowing cleaning teams to respond to service requirements as they arise.
Occupancy information can therefore help establish where demand exists, while PEGO supports the operational management of the cleaning response.
TaqtOne: Understanding Occupant Experience
Occupancy figures alone cannot tell FM teams whether building users are satisfied with the service they receive.
TaqtOne provides a different layer of information by capturing customer satisfaction and service feedback.
This can help operational teams identify dissatisfaction, establish intervention thresholds, monitor response times and analyse recurring service issues.
Combining operational performance information with occupant feedback gives FM teams a broader view of whether a service is not only being delivered, but producing the intended workplace experience.
SENSE: Supporting Frontline Workforce Visibility
SENSE addresses another part of the operational picture: the frontline workforce.
The technology supports functions including workforce location, attendance, task progress, communication, lone-worker support and asset tracking.
This can give operational teams greater visibility of frontline service delivery and help them coordinate teams across complex environments.
SENSE therefore shouldn’t be considered an occupancy or consumables sensor. Its role is primarily workforce management, visibility and support.
What Should You Consider When Comparing Workplace Occupancy Sensors?
Before selecting a technology, FM, Estates and Procurement teams should first establish what problem they are trying to solve.
1. What Decision Will the Data Help You Make?
Start with the operational question.
Are you trying to understand:
- which areas experience the highest footfall?
- whether cleaning frequencies reflect actual demand?
- how hybrid working is affecting workplace utilisation?
- whether particular floors or zones are being underused?
- how usage differs between locations?
If there is no clear decision that will be made differently as a result of the data, the business case for additional sensing technology may be weak.
2. What Level of Granularity Is Required?
Not every organisation needs desk-level information.
Consider whether building, floor, zone, room or individual-workstation data is actually required to achieve the intended outcome.
Collecting more detailed information should have a clear operational purpose.
3. How Will the Data Trigger Action?
Occupancy information has limited value if nobody is responsible for responding to it.
FM teams should establish what happens when agreed usage thresholds or patterns are identified.
Will a cleaning intervention be triggered? Will a specification be reviewed? Will the information inform future resource planning?
Technology should form part of an operational process rather than exist as a standalone dashboard.
4. How Will It Work With Existing Systems?
Occupancy technology should also be considered alongside existing cleaning, FM and reporting systems.
Procurement and FM teams should understand how information will be accessed, whether systems can share relevant data and how the information will appear within existing contract governance and reporting.
5. How Will Success Be Measured?
Establish a baseline before implementation.
Depending on the objective, useful measures might include cleaning performance, response times, utilisation patterns, task completion, complaints or resource deployment.
This makes it possible to establish whether the technology is actually improving the operating model.
6. How Will Data Be Governed?
The type of data collected matters.
Organisations should establish clear requirements around data ownership, access, retention and privacy, particularly where technology provides information relating to workforce location or individual workplace usage.
These requirements should be considered during technology selection and implementation rather than afterwards.
What Can This Look Like in Practice?
Across one multi-site corporate estate supported by Samsic, PEGO was introduced alongside digital auditing and cobotics as part of a move towards outcome-based cleaning.
The resulting operating model provided greater service visibility and supported more responsive deployment of cleaning resources. The contract achieved 97% cleanliness scores, while one location recorded a 93% task-completion rate and another released approximately 15% of cleaning hours for higher-value activities.
The important point is that these outcomes weren’t created by a sensor alone.
They resulted from combining operational data, technology, trained cleaning teams, auditing and clear service governance.
This is why workplace technology should be evaluated as part of the wider service model rather than as an isolated technology purchase.
Checklist: Which Workplace Technology Do You Actually Need?
Before investing in workplace occupancy sensors or related technology, consider:
☐ What operational problem are we trying to solve?
☐ Do we need building, zone, room or desk-level occupancy information?
☐ Will the information influence cleaning, workplace or space-planning decisions?
☐ Does occupancy vary enough for real-time information to change how services are delivered?
☐ Who will be responsible for responding to the data?
☐ Can the technology work with our existing cleaning and FM systems?
☐ Do we need visibility of cleaning tasks as well as occupancy?
☐ Do we need to capture occupant satisfaction and service feedback?
☐ Do we need greater visibility of frontline workforce activity?
☐ Have we established baseline measures against which success can be assessed?
☐ Can reporting work consistently across multiple sites?
☐ Are appropriate data-governance and privacy requirements in place?
The right solution may therefore be an occupancy sensor, a wider operational platform, or a combination of technologies. The requirement should be determined by the operational outcome rather than by the availability of technology.
When Are Workplace Occupancy Sensors Most Valuable?
Workplace occupancy sensors are likely to provide the greatest operational value where building usage is difficult to predict or varies significantly between locations, days or zones.
They may therefore be particularly worth considering where organisations have:
- hybrid or flexible working patterns;
- large or complex buildings;
- significant differences in usage between floors or zones;
- multi-site estates requiring consistent visibility;
- cleaning specifications based predominantly on historic occupancy assumptions;
- upcoming contract renewals, mobilisations or workplace redesign programmes.
For smaller workplaces with highly predictable occupancy, conventional scheduling and reporting may remain perfectly appropriate.
The objective shouldn’t be to introduce sensors everywhere. It should be to identify where better information could materially improve operational decisions.
Choosing the Right Approach
There is no single “best” workplace occupancy sensor for every organisation.
The appropriate approach depends on what needs to be understood, the level of data required and, most importantly, what action will be taken as a result.
Occupancy sensors can provide valuable information about workplace usage. PEGO can help translate service requirements into cleaning activity. TaqtOne can provide insight into occupant experience, while SENSE can support frontline workforce visibility.
Together, these technologies illustrate a broader principle: better facilities management doesn’t come from collecting more data. It comes from connecting the right information to the right operational response.
Reviewing workplace occupancy technology or considering how data could support a more responsive cleaning model? Samsic can help assess what level of visibility your estate actually requires and where technology could add measurable operational value.
FAQs
What is a workplace occupancy sensor?
A workplace occupancy sensor measures how a building, room, zone or workstation is being used. The type and granularity of information available depends on the sensing technology selected.
What’s the difference between a workplace desk occupancy sensor and a general occupancy sensor?
A desk sensor provides information about individual workstation utilisation, while broader occupancy sensors may monitor usage across rooms, floors or zones. The appropriate approach depends on the operational decision the data needs to support.
Can occupancy sensors be used for cleaning?
Yes. Occupancy and usage information can help cleaning teams understand where demand is occurring and support more responsive cleaning models, particularly where workplace usage changes significantly throughout the week.
Are PEGO, TaqtOne and SENSE occupancy sensors?
No. They perform different functions within a wider workplace technology ecosystem. PEGO supports cleaning task and outcome management, TaqtOne supports customer satisfaction and service feedback, and SENSE supports frontline workforce visibility and communication.
Do occupancy sensors reduce cleaning staff requirements?
The purpose should be to improve how resources are deployed rather than target a predetermined reduction in staffing. Any changes to service requirements should be based on actual demand, agreed standards and the cleaning specification.
What should Procurement teams ask when evaluating occupancy technology?
They should establish what data is collected, how it will be used, how the technology integrates with existing systems, how success will be measured, what reporting is available and how data ownership, access and privacy will be managed.
