How to Measure Office Space Utilization: Step-by-Step

A practical, step-by-step process for measuring how your office is used and turning the results into decisions.

Definition

Measuring office space utilization is the process of collecting data on how desks, rooms and floors are used over a defined period and calculating utilization rates that support decisions. The steps are: define the question, map the space, choose data sources, collect data, calculate metrics, analyse patterns and act on the findings.

The process does not require expensive technology to begin. A current floor plan, a clear method and a few weeks of consistent data collection are enough for most small and mid-sized offices. Sensors and integrated platforms add continuity and precision for larger portfolios.

Measurement has become mainstream: CBRE's 2025 European Office Occupier Sentiment Survey reported that 88% of surveyed companies measure workspace effectiveness, up from 60% in 2024.

Example

A 90-person company wants to decide whether to introduce desk sharing. It follows the steps below over six weeks. It updates its floor plan to show all 90 desks and 5 rooms, runs hourly walk-through counts for three weeks, exports desk bookings and badge data for the same period and calculates average and peak desk utilization by zone.

Results show 39% average desk utilization, 64% on the peak day and a maximum of 70% in any hour. Product and Engineering peak at 85%, while Sales never exceeds 45%. The company introduces a 1.2 people-per-desk sharing ratio in Sales, keeps assigned seats for Engineering and re-measures after two months.

How it relates to an office map

Step 2 of this process — mapping the space — is where the Office Map Editor fits most directly: an accurate plan with every desk and room labelled becomes your capacity baseline. Bookings, assigned names and heatmaps on the same map then help you analyse results by zone.

Step 1: Define the decision

Write down the question the measurement must answer. Examples include: can we release a floor at lease end, should we introduce desk sharing, do we need more meeting rooms, or which team neighbourhoods are too small. The question determines the data, duration and level of detail you need.

Step 2: Map the space and define capacity

Create or update a floor plan showing every desk, workpoint and room. Decide what counts as capacity — desks only, or also booths and lounge seats — and record the rule. Without a reliable denominator, utilization percentages cannot be compared over time.

Step 3: Choose your data sources

Pick sources that can answer your question. For desk and room use, observation counts, bookings and sensors are most useful. For attendance trends, badge data works well. Remember its limits: Van Vlissingen and Co. note that the Kastle Barometer counts only first daily entries and that badge systems often miss exits, tailgating and visitors.

Walk-through counts for a low-cost, detailed snapshot
Booking data for intent and no-shows
Badge data for attendance by day
Sensors for continuous desk and room presence
A short survey for context and experience

Step 4: Collect data consistently

Choose a period of at least two to four representative weeks, avoiding holidays unless you want to measure them. For manual counts, observe at fixed times, such as every hour, using the floor plan as the recording sheet. Store results in one place with the date, time, space and count.

Step 5: Calculate the metrics

Apply the space utilization formula: used ÷ available × 100. Calculate average utilization, peak-day utilization and peak-hour utilization for desks; time utilization and right-sizing for rooms; and the booking no-show rate if you use bookings. Do this for the whole office and for each zone.

Compare your figures carefully with external benchmarks. CBRE's 2025 European survey reported a 46% weekly average and 71% peak-day average utilization; Envoy cites JLL's 56% global office utilization against a target of roughly 74%. Only compare if your method is similar.

Step 6: Analyse patterns

Look at day-of-week and hourly patterns, differences between zones and teams and mismatches between space types. Visualise results as heatmaps on the floor plan so stakeholders can see where pressure and waste are. Check outliers against what observers saw before drawing conclusions.

Step 7: Act and re-measure

Turn findings into a specific change: resize zones, convert desks to rooms, introduce sharing or coordinate team days. Update the floor plan and communicate the change. Re-measure using the same method after one or two months to confirm the effect.

IFMA's guide describes this as moving from reacting to space requests to shaping the portfolio with evidence.

Common mistakes

Skipping the decision step, measuring for only a few days, changing methods mid-study, reporting only averages and failing to re-measure are the most common problems. Privacy missteps are another: always aggregate results by zone or team rather than reporting on individuals.

Worked example from start to finish

A design agency of 60 people asks whether it can move to a smaller office. It defines the decision, updates its floor plan to show 60 desks and four rooms and agrees that capacity means desks only. For three weeks a coordinator records hourly desk counts, while the office manager exports room bookings and badge entries.

Calculations show 36% average desk utilization, 61% on the busiest day and a peak hour of 66% — 40 desks. Rooms are booked 70% of available hours and used 58% of available hours, a gap caused by meetings that were booked but never held. Badge data shows Tuesday and Thursday as consistently busiest.

The agency concludes that an office with about 46 desks would cover peak demand with a buffer, provided it keeps four rooms, introduces check-in for room bookings and sets Tuesday and Thursday as team days. It re-measures in the new office after two months to confirm that people can still find a seat.

Related concepts explained

These supporting terms appear throughout the measurement process described above.

Observation study: manual counts of occupied spaces at set times
Check-in: confirming a booking on arrival so unused bookings can be released
Data validation: comparing data sources or spot checks to confirm accuracy
Utilization target: the range an organisation aims for, such as 70–85% at peak
Re-measurement: repeating the study after a change to confirm its effect

Putting it into practice

Choose one question you need answered this quarter and follow the seven steps on a single floor. Keep the method simple and the documentation short. Share the results openly with employees and leadership, make one change and measure again. Most organisations find that the second round of measurement is faster, cheaper and more persuasive than the first, because the floor plan, method and stakeholder trust are already in place.

A sample two-week observation template

For a manual study, create a sheet with one row per desk or room and one column per observation time, for example 09:00, 10:00, 11:00, 12:00, 14:00, 15:00 and 16:00. At each time, mark 1 if the space is in use and 0 if not. Use a separate code for desks that are clearly claimed but temporarily empty, such as a laptop and coat left on the desk, so you can decide later whether to count them.

At the end of each day, sum each column to get occupied counts by time, and sum each row to see how often each desk was used. After two weeks you can calculate average, peak-day and peak-hour utilization by zone, and spot desks that were never used at all.

Moving from a study to continuous measurement

After a first study, many organisations want ongoing data. Bookings with check-in, badge data and sensors in key areas can provide this. Keep the same capacity definitions and metrics as in the original study so you can compare results over time. Review the data monthly and run a short validation walk each quarter to make sure the continuous data still matches reality.

Key takeaways

The measurement process in brief.

Define the decision
Map the space and define capacity
Choose and combine data sources
Collect consistently over representative weeks
Calculate average and peak by zone
Analyse, act and re-measure

Frequently asked questions

How often should I measure office space utilization? Run a focused study before major decisions and maintain lighter continuous measurement afterwards, reviewed monthly.

What is the cheapest way to start? A current floor plan and hourly walk-through counts for two weeks, combined with any booking or badge data you already have.

What should I do with the results? Present them on the floor plan, agree on one specific change and re-measure after it is made.

Summary

To measure office space utilization, define the decision, map the space and capacity, choose and combine data sources, collect consistently for several representative weeks, calculate average and peak by zone, analyse patterns on the floor plan, act and re-measure. A clear method matters more than expensive tools, and transparency with employees keeps the process trusted.

If you are unsure where to begin, start this week: update your floor plan, pick the busiest floor and schedule two weeks of hourly counts. By the end of the month you will have your first reliable utilization figures and a clear view of where your office works well and where it needs attention.