Workplace Analytics Tools: What IT Teams Should Actually Measure
Workplace analytics has expanded from facilities dashboards into a sprawling category covering employee productivity, space utilisation, collaboration patterns, and technology adoption. IT teams are increasingly asked to deploy and maintain these systems, and more often than not, asked to deliver insights that no one quite knows what to do with.
This guide is about cutting through the noise: what to actually measure, which tools handle which use cases, and how to avoid building an analytics stack that generates data nobody acts on. It includes a table of the workplace analytics metrics worth tracking, real examples of decisions they support, the main platforms and sensors compared, and a short list of things you should not measure at all.
Quick verdict
Start with space utilisation and technology adoption. These are the two categories where IT has data it can actually collect (badge access, room booking systems, sensors, M365 telemetry) and where the outputs have clear business decisions attached. Employee productivity analytics, particularly anything involving individual surveillance, should only be approached with legal review and explicit employee disclosure.
For most organisations the right first step costs nothing: export the data your booking system, access control and Microsoft 365 or Google Workspace admin centre already hold. Buy sensors or a dedicated analytics platform only when that data can’t answer the question in front of you.
What is workplace analytics?
Workplace analytics is the practice of collecting data about how people use offices, tools and time, and turning it into decisions about space, technology and ways of working. The data comes from room and desk bookings, badge swipes, occupancy sensors, Wi-Fi, meeting and collaboration telemetry, and helpdesk tickets. The output is usually a set of dashboards and a handful of recurring reports for facilities, real estate, IT and HR.
It overlaps with, but is not the same as, people analytics (which is about HR data such as retention and engagement) and with employee monitoring software (which tracks individuals and is a different, much riskier category).
Workplace analytics metrics worth tracking
| Metric | How it’s calculated | Data source | Decision it supports |
|---|---|---|---|
| Peak occupancy | Highest headcount on site per day ÷ capacity | Badge data, sensors, Wi-Fi | How much space you really need |
| Average desk utilisation | Occupied desk hours ÷ available desk hours | Desk sensors or check-ins | Desk-sharing ratio, neighbourhood sizes |
| Room no-show rate | Bookings with nobody present ÷ all bookings | Booking system plus sensors or check-in | Auto-release rules, room supply |
| Room right-sizing | Average attendees ÷ room capacity | Sensors or room systems | Splitting large rooms into smaller ones |
| Busiest days | Occupancy by weekday and hour | Badge data, sensors | Hybrid policy, cleaning, catering and energy schedules |
| Licence utilisation | Active users ÷ licences per product | M365 or Google admin reports | Downgrading or reassigning licences |
| Meeting room tech usage | Meetings using room systems ÷ all meetings in the room | Teams Rooms or Zoom Rooms admin data | Where to invest in AV, and where not |
| Meeting load | Hours in meetings per person per week, aggregated by team | Viva Insights or equivalent | Meeting policies, focus time |
| Helpdesk hotspots | Tickets per category, site or room | ServiceNow, Jira Service Management | Fixing the rooms and tools that cause the most pain |
Pick three to five of these, not all nine. Each one should have a named owner who reviews it and a decision it feeds.
Category 1: Space utilisation
Space utilisation analytics answer: are people using the office as we think they are? Most organisations discover significant gaps between assumption and reality.
What to measure
- Room booking utilisation rate: bookings made vs. bookings where people actually showed up. No-shows and meetings that end early often account for a large share of booked time, which is why auto-release on no-show is usually the first fix.
- Peak occupancy by day and time: which days are actually busy vs. which days the office is empty. Informs hybrid work policy design and energy management.
- Room size vs. actual attendance: are 8-person rooms being used by 2 people? Informs space reconfiguration decisions.
- Desk utilisation in hot-desking areas: what’s the actual ratio of desks to people on peak days?
Where the data comes from
- Room booking system logs (Robin, Condeco, Joan, M365 room mailboxes)
- Occupancy sensors (see the smart office sensors guide)
- Badge/access control data (most modern access systems export logs)
- Wi-Fi association data (number of devices connected to APs, as a rough headcount proxy)
Each source has a blind spot. Bookings show intent, not use. Badge data shows who entered the building, not where they went. Wi-Fi counts devices, not people, and double-counts anyone with a phone and a laptop. Sensors show actual use but cost money per space. Most mature setups combine bookings with one source of actual presence.
Tools
Microsoft Places: for M365 environments, Places brings room and desk booking, office presence and space analytics into Teams and Outlook. Since Microsoft’s April 2026 licensing change the core booking features are in standard Microsoft 365 plans, while advanced analytics still need additional licensing; our Microsoft Places guide has the details, and you should verify with your licensing team.
Robin, Condeco, and most enterprise room booking platforms have built-in utilisation reporting. If you’re already running one of these, use their native analytics before adding another tool.
Sensor-specific dashboards: occupancy sensor vendors such as VergeSense, Density, Butlr and XY Sense ship their own analytics platforms, and Cisco Spaces turns Wi-Fi and Meraki data into presence analytics. If you have sensor infrastructure, these are often the most granular source of utilisation data.
Best sensors for workplace analytics
The best sensor depends on the question. For accurate, anonymous headcount in rooms and open areas, camera-free ceiling sensors from Density (depth and radar) and Butlr (thermal) are strong choices. For desk-level data across open-plan floors, XY Sense and VergeSense cover many desks per sensor. For a cheap yes/no per desk, under-desk sensors from Pressac, Haltian or Disruptive Technologies do the job. If you also want air quality in the same dashboard, VemSpace from Danish vendor Vemco Group combines third-party occupancy and climate sensors (from Milesight, Elsys, Xovis and TDI Intelligence, according to Vemco) in one platform, with EU hosting.
Our comparison of the best office occupancy sensors covers eleven vendors on technology, privacy, integrations and pricing model, and the desk utilisation sensors guide covers under-desk versus ceiling sensors.
Category 2: Technology adoption
Technology adoption analytics answer: are people using the tools we’ve deployed, and are we getting value from our software licences?
What to measure
- M365 licence utilisation: are you paying for E3/E5 licences where users only need F1? Unused Teams, SharePoint, and OneDrive usage indicates over-licensing or under-adoption requiring training intervention.
- Meeting room technology usage: are the AV systems in meeting rooms being used, or are people still dialling in from laptops? Informs AV investment decisions.
- Digital signage engagement: are people interacting with (or ignoring) the signage? QR code scan rates and anecdotal feedback are the practical proxies.
- Support ticket categories: what technology generates the most helpdesk tickets? This is often more actionable than any analytics dashboard.
Tools
Microsoft Viva Insights: Viva Insights uses aggregated, privacy-protected Microsoft 365 data to show collaboration patterns such as meeting load, after-hours work and focus time. Employees get private personal insights and managers get team insights in the Viva Insights app in Teams. Organisation-level collaboration reports now live in the Viva Insights web app, alongside the Copilot Dashboard and Copilot Analytics reports for tracking Copilot and AI agent adoption. Which features you get depends on your Microsoft 365 plan and add-ons. Check microsoft.com/viva/insights for current licensing.
Microsoft 365 Admin Center: the usage reports in M365 Admin Center show app usage, active users per service, and licence utilisation. This is often underused, it’s built in and free, and provides most of what’s needed for basic adoption tracking.
Google Workspace Admin Reports: equivalent to M365’s usage reports for Google environments, shows Drive, Meet, Gmail, and Calendar activity at the organisational level.
Meeting room management portals: the Teams Rooms Pro Management portal and the Zoom Rooms dashboard show room usage and device health. That tells you which rooms are used for video meetings and which rooms keep failing, which is worth more than any survey.
Category 3: Collaboration patterns
Collaboration analytics show how people work together, who communicates with whom, how meetings are structured, where communication bottlenecks exist. This is the most valuable category for HR and leadership, and the most sensitive for IT to deploy.
What’s useful
- Meeting fragmentation (percentage of time in meetings vs. focused work)
- Cross-team collaboration patterns (are departments working in silos?)
- After-hours work patterns (an indicator of unsustainable workload)
The privacy boundary
Collaboration analytics must be handled carefully. The line between “team-level patterns” and “individual surveillance” is a legal, ethical, and employee relations issue, not just an IT configuration question. Before deploying any tool that tracks individual communication patterns:
- Get legal review (GDPR and local employment law apply)
- Brief HR and union/works council representatives where applicable
- Use aggregated and de-identified data at team level, not individual tracking
- Be explicit in employee communications about what is and isn’t tracked
Viva Insights is designed with privacy protections: personal insights are private to the individual, and Microsoft states the product is not designed for employee evaluation, tracking or monitoring. But configuration matters, including minimum group sizes for reports: verify settings with your privacy team before rollout.
Workplace analytics examples
What good use looks like in practice, as typical scenarios rather than case studies:
- Consolidating a floor. Six months of badge and sensor data shows the office never exceeds about half of its capacity, even on Tuesdays. The company gives back one floor at the next lease break and redesigns the rest around team neighbourhoods.
- Fixing a room shortage that isn’t one. Staff complain there are never rooms free, yet sensors show many booked rooms are empty. Turning on auto-release after ten minutes frees up capacity without building anything.
- Right-sizing rooms. Large boardrooms are mostly used by two or three people. Two of them are split into smaller video rooms, which are booked far more often.
- Cutting licence spend. Admin reports show a group of users who only use email and Teams on mobile. Moving them to a frontline licence saves budget for the AV upgrade.
- Matching services to attendance. Occupancy by weekday drives the cleaning rota, catering orders and HVAC schedules, so Fridays stop costing as much as Tuesdays.
Each example starts with a question and ends with a decision. That is the pattern to copy.
What not to measure (or at least, not yet)
- Individual productivity scores: “productivity analytics” tools that score individuals based on email volume, Teams activity, or keystrokes are legally risky in most European jurisdictions and corrosive to trust when discovered
- Sentiment analysis: email and Teams sentiment scanning exists but requires explicit consent and legal review
- Granular individual location tracking: badge-in/badge-out is generally acceptable; continuous indoor location tracking of individuals requires clear consent and justification
If the goal is checking office attendance against a return-to-office policy, there are ways to do that at team level without tracking individuals; see our guide to measuring return-to-office compliance without spying on employees.
Workplace analytics platforms compared
| Platform | Type | Main data | Best for |
|---|---|---|---|
| Microsoft 365 Admin Center / Google Admin | Built-in reports | App usage, active users, licences | Technology adoption, at no extra cost |
| Microsoft Viva Insights | Collaboration analytics | Meetings, email, chat, Copilot use (aggregated) | Meeting load and Copilot adoption in M365 organisations |
| Microsoft Places | Booking and presence | Room and desk bookings, office presence | M365 organisations that want basic space analytics inside Teams |
| Robin, Condeco (Eptura), Envoy | Workplace platforms | Bookings, check-ins, visitors, integrated badge or sensor data | Utilisation reporting on top of booking |
| VergeSense, Density, XY Sense, Butlr | Sensor plus analytics | Measured occupancy per room, zone or desk | Accurate utilisation and portfolio planning |
| VemSpace (Vemco Group) | Sensor-agnostic analytics | Desk and room occupancy plus CO2, temperature and humidity from third-party sensors | Occupancy and indoor climate in one dashboard, EU-hosted |
| Cisco Spaces | Network-based analytics | Wi-Fi and Meraki device data | Building-level presence where Cisco networking is already in place |
For a broader comparison of platforms that combine booking, analytics and facilities, see our workplace management software comparison.
Building a useful analytics stack
A pragmatic workplace analytics stack for a mid-size organisation:
- Room booking utilisation: pull from your existing booking platform (Robin, Condeco, M365 room mailboxes). No additional tool needed.
- Occupancy: add occupancy sensors if room booking data alone isn’t granular enough. Butlr or Milesight are practical options.
- M365 adoption: M365 Admin Center usage reports. Free, built-in, covers most needs.
- Collaboration patterns: Viva Insights if your Microsoft 365 plan includes the features you need and you have a GDPR-reviewed use case.
- Helpdesk data: ServiceNow, Jira Service Management, or equivalent, analyse ticket category trends quarterly.
This stack covers the majority of actionable workplace analytics use cases without deploying specialist point solutions. Add specialist tools only when you’ve exhausted what these provide.
The most important question
Before deploying any analytics tool, ask: who will act on this data, and what decision will they make? If there’s no clear answer, the analytics will generate dashboards that get reviewed once and then forgotten. Measurement is only useful when it connects to a decision. Define the decision first, then identify the metric, then deploy the tool.
FAQ
What are the most important workplace analytics metrics?
For most organisations: peak occupancy, desk utilisation, room no-show rate, room right-sizing and licence utilisation. They are cheap to collect and each one maps to a clear decision about space or spend.
What is the difference between workplace analytics and employee monitoring?
Workplace analytics looks at aggregated patterns, such as how full a floor is or how many hours teams spend in meetings. Employee monitoring tracks what individuals do. The first is standard practice; the second carries serious legal and trust risks, especially in Europe.
Do we need occupancy sensors for workplace analytics?
Not to start. Booking, badge and Wi-Fi data answer many questions. Sensors become worthwhile when you need to know actual use per room or desk, for example before a space reduction or redesign.
What is the best sensor for workplace analytics?
Camera-free ceiling sensors (thermal, radar or depth) for headcount, ceiling sensors with per-desk positioning for open-plan desk data, and under-desk presence sensors for a low-cost yes/no per desk. See our occupancy sensor comparison for vendors.
Is Microsoft Viva Insights included in Microsoft 365?
Personal and some team insights are available in many Microsoft 365 plans; the web app’s advanced reports and analysis tools depend on your plan and add-ons. Check Microsoft’s feature availability page for your licence.
Bottom line
Start with space utilisation data from tools you already have. Add sensor data when you need granularity that booking systems can’t provide. Use M365/Google native reports for technology adoption. Treat collaboration analytics carefully, with legal oversight. And measure only what you can act on.
Related: smart office sensors guide and workplace management software comparison.
