Space Utilization Metrics That Hold Up in a Refurbishment Case

The refurbishment case usually dies in the same meeting. A facility manager presents a badge-swipe chart showing 38 percent average occupancy, the finance director asks "average of what, over what period, counted how?", and the room goes quiet. Six months of booking data and a floor-walk survey turn out to be two different stories about the same building. The project gets deferred to the next budget cycle, and the half-empty third floor keeps being heated, lit and cleaned on a full-occupancy schedule.

That meeting is winnable, but only with space utilization metrics that were chosen for cross-examination rather than for a dashboard. The difference is not sophistication. It is whether each number has a defined denominator, a measurement method someone can defend, and a sampling period long enough that nobody can dismiss it as "that quiet week in August".

Why badge data and booking data lose the argument

Access-control logs tell you who entered the building. They do not tell you which floor they went to, how long they stayed, or whether the 60-person meeting room held four people for three hours. Room-booking systems are worse: in most organisations we audit, somewhere between a quarter and a third of booked meetings never occur, and the room shows as "used" anyway. Anyone who has run a workplace knows the Friday pattern where the car park is a third full but the booking calendar is solid.

Neither source is useless. Both are fine as corroboration. But a refurbishment case that proposes releasing a floor, consolidating two buildings into one, or converting 40 enclosed offices into collaboration space cannot rest on proxies. It needs measured presence, in the actual space, over time.

The five metrics that survive scrutiny

Keep the set small. A case built on fifteen KPIs invites fifteen objections. These five cover almost every refurbishment decision we have seen go through.

• Peak occupancy, not average occupancy. Average occupancy is the number that gets a project laughed out of the room, because everyone knows the building is empty at 7am and on Fridays. The question that matters is: how many people are actually in the space at the busiest hour of a typical week, and how often does that peak occur? A floor with a 35 percent average and a 90 percent peak on Tuesdays and Wednesdays cannot be released. One with a 35 percent average and a 55 percent peak can.

• Frequency of use per space type. What percentage of working hours is a given room, desk cluster or zone occupied at all? This separates the rooms that are genuinely needed from the ones that exist because the floor plate had the space.

• Occupancy against capacity. When a 12-seat room is used, how many people are in it? Universities see this constantly: a 200-seat lecture theatre timetabled for a 40-student module, every week, for a semester. The room is "busy" and 80 percent of it is empty.

• Dwell time. A touchdown desk occupied for 20 minutes and a project desk occupied for seven hours are different assets. Dwell tells you which kind of furniture and which ratio of desks to people the refurbished space actually needs.

• Cost per occupied hour. Take the fully loaded cost of running a zone — rent or depreciation, energy, cleaning, maintenance — and divide by measured occupied hours. This is the metric finance understands without translation, and it is the one that makes the case for closing or consolidating a floor.

How long to measure before you present

Two weeks is not enough and everyone in the room knows it. A university needs a full teaching term, including exam weeks, to show the real shape of demand. A public institution with seasonal service peaks needs those peaks included. For a corporate office, eight to twelve weeks that avoid major holidays is the minimum that stops the "unrepresentative period" objection. If budget timing forces a shorter window, say so explicitly and show which weeks are missing, rather than letting someone else discover it.

Measure the whole building, not just the floor you intend to change. The counter-argument to releasing floor three is always "where do those people go on peak days?" If you can show that floors one and two have headroom at their own peak, the question answers itself. If you cannot show it, you have not finished the case.

Where space utilization software earns its place

Manual floor walks produce a snapshot and a disgruntled team. Sensor-based measurement produces a continuous record, and that continuity is what gives the metrics above their credibility. VemSpace measures utilisation at room, desk, floor and building level from the same occupancy data, so the peak figure for the building and the frequency figure for a single meeting room come from one consistent source rather than three spreadsheets stitched together.

Two practical details matter when the data will be challenged. First, accuracy: the contractual minimum on these systems is 96 percent, and in practice it typically lands between 98 and 99 percent where lighting and layout allow. State that range honestly in the appendix. A finance director who sees a claimed flat 99 percent will test it; one who sees a defined minimum and a typical range will usually accept it. Second, staff exclusion. AI sensors that can separate cleaners, security rounds and facilities staff from genuine occupants remove the most common challenge to room-frequency data — "that room shows used at 6am every day" — before it is raised.

The practitioner detail most cases miss

Here is something implementers learn the hard way: the baseline you present is also the baseline you will be judged against after the refurbishment. If you measure for twelve weeks, win the case, and then remove the sensors, you have no way to demonstrate that the new layout achieved what you promised. Keep the measurement running. The same occupancy data that justified the project becomes the evidence that the new collaboration zones are used, that the desk ratio holds at peak, and that the released floor was the right one.

It also opens a second line of savings that strengthens the original case. When occupancy data is connected to HVAC and building management systems through VemFusion, ventilation and heating respond to measured presence instead of a fixed schedule. For a public building or campus where whole wings sit empty on predictable patterns, the energy reduction is often large enough to fund part of the refurbishment itself. Real-time alerts at a predefined occupancy limit add a safety and compliance argument on top, which matters for institutions answerable to fire officers and auditors.

Presenting workplace utilization to a sceptical board

Lead with cost per occupied hour by zone. Follow with peak occupancy and the headroom analysis for the floors that remain. Put frequency, capacity and dwell in supporting slides, and put methodology, measurement period and accuracy range in an appendix nobody has to read but everybody can check. Name the weeks you measured. Name what you excluded. A workplace utilization case that volunteers its own limits is far harder to defer than one that waits to be caught out.

Frequently asked questions

How do you measure space utilization? Install occupancy sensors across the rooms, desks and zones you want to assess, then record presence continuously for a period long enough to capture normal variation — typically eight to twelve weeks for offices and a full term for universities. From that record, calculate peak occupancy, frequency of use, occupancy against capacity, dwell time and cost per occupied hour. Badge and booking data can corroborate the results but should not replace measured presence.

If you have a refurbishment or consolidation decision coming up and want space utilization metrics that will stand up when finance starts asking questions, talk to Vemco Group about a measured baseline before the budget meeting rather than after it.