Right-sized workplace strategy

Many organisations still get trapped by a very simple question when sizing the office: how many people do we have? It is an understandable question, but rarely produces a good enough answer. Offices are not used with the same intensity every day, and work does not place identical demands on space across time.

This article explains why right-sized workplace strategy is about variation, attendance data, ways of working, and risk levels rather than simple occupancy or total headcount. When sizing becomes more precise, the workplace also becomes more usable, less fragile, and better aligned with the realities of work.

Why right-sizing is not about a simple average

An average is useful, but it is not enough. If a team has 30 people in the office on an average day, that tells us something important about normal use, but not how often attendance rises above or falls below that level. It also does not tell us what level the organisation needs to cope with in order for the office to function without repeated friction.

That is why sizing has to build on both the mean and variation. Attendance in an office rarely behaves like one fixed number. It rises and falls. If teams design only for the mean, they can easily create a workplace that looks adequate on paper but becomes under-sized on a normal day with high attendance.

In workplace strategy, the question therefore has to be larger than how many people the organisation employs. It has to be about how attendance is actually distributed across time and what level of robustness the business needs.

Which mistakes organisations make when sizing the office

The first common mistake is to work from total headcount. That often leads to over-sizing in hybrid environments where everyone is rarely present at the same time. The second is to move to the opposite extreme and size almost mechanically around an average without taking peaks, dips, and day-to-day variation seriously.

The third mistake is to treat every type of workplace setting as if it followed the same logic. Desks, meeting rooms, collaboration areas, and social spaces are shaped by different activity patterns. That is why one broad occupancy number for the whole office is too crude.

The fourth mistake is to ignore policy and behaviour. If the clean desk logic is strict, desks become available more quickly when people go to meetings. If the policy is more permissive, desks remain occupied even when they are not in use. The same attendance data can therefore lead to different space needs depending on how the workplace actually operates.

How dimensioning levels change the decision

A more useful model is to work with dimensioning levels. In the Workplace Adequacy™ logic, different levels combine the mean with the standard deviation in different ways. That allows the organisation to choose the degree of robustness it needs rather than pretend that one single number is always correct.

The effective level plans for the mean plus 0.5 standard deviations and covers roughly 69 per cent of working days. Ample plans for the mean plus 1 standard deviation and covers about 84 per cent. Well-supplied plans for plus 1.5 standard deviations and moves towards 93 per cent. Generous plans for plus 2 standard deviations and reaches about 98 per cent.

The point is not the mathematics alone. The point is that decisions become clearer when teams explicitly choose what level of risk they are willing to accept and how often they want the workplace to be fully right-sized.

How attendance data and variation create better precision

When teams track actual attendance over time, they can see both the mean and the spread. Standard deviation then stops being a technical footnote and becomes a practical indicator of how stable or unstable daily use really is. The greater the variation, the more vulnerable a narrow sizing decision becomes.

That makes it possible to talk more precisely about the difference between a normal day, a busy day, and a genuine peak day. It also helps teams avoid building the entire workplace logic around rare exceptions or overly optimistic assumptions.

Data becomes especially useful once it is combined with activity understanding. How much of the day is spent on individual desk work? How much collaboration still happens at desks rather than in dedicated collaboration settings? How much time goes to meetings? Without that link, right-sizing stays too coarse.

How ways of working and clean desk policy affect sizing

A clear example is a team with 50 employees, an average of 30 people present, and a standard deviation of 6. If the organisation chooses the effective level, that results in 33 desks. That can be enough under a strict clean desk policy, where desks are released as soon as people leave them.

But if the policy becomes less strict, the situation changes quickly. Desks may stay occupied without being used, which means people who genuinely need a workstation cannot find one. The same office may therefore feel correctly sized in one logic and under-sized in another.

This shows why right-sizing can never be separated from ways of working. Policy, behaviour, and room use all need to be analysed before the decision, not afterwards.

How buffers and flexibility protect the strategy over time

Strong right-sizing is not only about today’s needs. It also has to absorb change. As attendance patterns shift, teams grow, or ways of working evolve, the workplace needs to cope without quickly becoming either too tight or unnecessarily expensive.

This is where buffers and flexibility matter. A certain margin may be strategically wise if the business is growing, if leadership wants to reduce the risk of peak-day pressure, or if the clean desk policy will likely be less strict in practice than it sounds in theory.

Flexibility also concerns how desks, workrooms, and collaboration settings can be redistributed over time. A right-sized office is not only an office with the right number of seats today. It is an office that can handle future variation better than a rigid arrangement.

What to do differently in the next sizing decision

If your team wants to size the workplace more intelligently, start with four steps.

First, stop using total headcount or a simple average as the only decision base.

Second, analyse both the mean and the variation in attendance, and choose a clear dimensioning level based on the organisation’s risk appetite.

Third, connect right-sizing to activity data, ways of working, and clean desk policy.

Fourth, build in some flexibility so the strategy can absorb changing attendance patterns and emerging needs over time.

That is how sizing stops being a cost-cutting exercise or a guess and becomes a more precise part of workplace strategy.

Source

Workplace Strategist internal method and training material on right-sizing, attendance data, and workplace strategy.