A Number Means Nothing… Until It Means Everything

Facilities management has become increasingly data-led, and rightly so.

Senior stakeholders want evidence. Procurement teams want comparators. Finance directors want assurance that spend is under control. Boards want simple numbers that tell them whether the estate is efficient, compliant and commercially defensible.

The problem is that FM numbers rarely behave simply.

A cost per square foot, a utilisation percentage, a cleaning productivity rate, a PPM compliance score or a service charge benchmark may look precise. It may even be accurate. But accuracy is not the same as meaning. A number only becomes useful when it is understood in context.

Without that context, a benchmark can become less of a decision-making tool and more of a trap.

Take operating cost. FM leaders are under obvious pressure. JLL’s 2025 global FM research found that escalating operating costs and budget constraints were the top concern for 84% of FM leaders. That pressure creates a natural appetite for benchmarks. If your cost is above market, reduce it. If your utilisation is low, cut space. If your cleaning cost has risen, challenge the supplier. If your service charge is high, demand savings.

That logic is attractive because it is simple. It is also where poor decisions begin.

A cleaning cost that appears high may reflect wage legislation, evening access constraints, high washroom intensity, hospitality demand, security requirements, infection control standards or a building that was never designed to be cleaned efficiently. BCIS is forecasting cleaning costs to rise by 23% between 2025 and 2030, largely driven by labour costs. At the same time, the UK National Living Wage rose to £12.71 per hour from April 2026 for workers aged 21 and over.

So when a cleaning benchmark moves, the intelligent question is not simply: “Why has this gone up?”

It is: “What part of this movement is market, what part is specification, what part is productivity, what part is risk, and what part is a service choice we have consciously made?”

That is a very different conversation.

The same applies to workplace utilisation. A headline figure of 53% office utilisation might suggest that half the estate is wasted. It might support a business case for reducing space. It might also conceal the fact that Tuesday to Thursday demand is close to capacity, meeting rooms are oversubscribed, catering is under strain on peak days, and the office is playing a critical role in collaboration, onboarding and culture.

An average is not a strategy.

In workplace planning, the number that matters is not just how many people attend. It is when they attend, why they attend, what they need when they arrive, and whether the estate supports the work the organisation says it values. A building that looks inefficient on a weekly average may be operationally stretched at the moments that matter most.

This is why FM expertise matters. Not because experienced FM professionals dislike data, but because they know data without interpretation can be dangerous.

A PPM compliance score of 95% may look strong, but what is included? Are statutory tasks separated from routine maintenance? Are critical assets weighted appropriately? Is the asset condition improving, stable or quietly deteriorating? Are failures being prevented, or are tasks merely being closed?

A low service charge may look like good value, but it may also indicate underinvestment, deferred lifecycle works, weak asset management or a specification that is no longer fit for the building’s use. A high service charge may look excessive, but it may reflect genuine complexity, higher occupancy intensity, premium front-of-house expectations or historic maintenance catch-up.

The number is not the answer. It is the start of the investigation.

This becomes even more important in PFI and long-term contractual environments. As many PFI contracts move toward expiry, public bodies and advisers are having to look beyond surface-level compliance and ask harder questions about asset condition, lifecycle obligations, handback standards and future service continuity. A building can be “compliant” on paper and still present a serious commercial or operational risk if the wrong measures have been tracked, or if the right measures have been read too narrowly.

Benchmarking is therefore not about finding a number and reacting to it. It is about understanding comparability.

Compared with what? A similar building? A similar sector? A similar operating model? A similar age profile? A similar labour market? A similar risk appetite? A similar client expectation? Without those questions, benchmarking can give false confidence.

This is where many senior decisions go wrong. A benchmark is treated as neutral, when in reality it carries assumptions. It may assume a certain service level, building type, occupancy profile, asset age, regional cost base, contract structure or compliance environment. If those assumptions do not match your estate, the comparison may be technically interesting but commercially misleading.

The danger is not that leaders use numbers. The danger is that they use them too quickly.

A number can tell you that something is different. It cannot, on its own, tell you whether that difference is good, bad, justified, dangerous or irrelevant. That judgement requires FM knowledge, commercial experience and operational curiosity.

For senior FM stakeholders, the practical implication is clear: never accept a benchmark without the story behind it.

Before acting on a number, ask:

• What exactly is being measured?
• What is excluded?
• Is the denominator right?
• Is this cost, performance, risk or value?
• Is the comparator genuinely comparable?
• What would change if occupancy, labour, compliance or asset condition were normalised?
• What decision will this number influence, and what could go wrong if we misread it?

The best FM leaders do not use benchmarks to replace judgement. They use them to sharpen judgement.

That distinction matters. Because in facilities management, numbers have consequences. They influence budgets, staffing, procurement, supplier relationships, workplace strategy, asset risk and user experience. Used well, they expose inefficiency, strengthen commercial control and support better decisions. Used badly, they encourage false savings, poor specifications and risks that only become visible later.

A number means nothing until it is placed in context… then, sometimes, it means everything