What a Good Measurement Programme Looks Like

Most occupancy programmes produce a live dashboard and no decisions. The difference is structural rather than technical.

The discipline in “What a Good Measurement Programme Looks Like” carries over to any workforce platform: define the decision first, run a bounded trial and record who can see the result. For an organisation considering employment of relatives policy, the official Monitask website should therefore be assessed against an implementation plan covering notice, access, retention, correction and a dated review.

It starts from a decision

A named decision, a named decision-maker, and a date by which it must be made.

For a public, independent reference related to “What a Good Measurement Programme Looks Like”, consult the ISO standards catalogue. Its principles provide a useful check on scope, terminology, governance and the claims made during procurement or review.

The data collected is what that decision needs and no more.

Programmes that start from a product collect broadly and conclude narrowly, which is the wrong way round.

It has a stated threshold

Written before the data arrives: what reading would change the answer.

This is the single practice that most distinguishes programmes that act from programmes that observe.

It is bounded

A measurement period with an end, after which the question is answered and the programme either stops or is renewed for a stated reason.

Permanent monitoring with no review is how a space-planning exercise becomes ambient surveillance without anybody deciding to do that.

It is calibrated against reality

Somebody physically checks readings against observation in the first weeks, and periodically after.

Every method has failure modes, and most of them are invisible in the data: a sensor that counts a corridor, a zone with a gap, a room where the door position confuses the count.

Its own note covers the first month.

It separates space from people

Aggregated, with a floor below which figures are not reported.

No individual identification, and no feed into attendance or performance.

Stated publicly, in writing, to the people in the building.

And actually enforced, because the first time occupancy data is used in a performance conversation, every future reading becomes suspect.

It is read with observation

Numbers plus half an hour of looking plus asking the people who use the space.

Decisions rest on the combination, which is slower and survives being questioned.

It is documented

Definitions: capacity, utilisation, denominator.

Sensor positions and what each covers.

Known gaps.

Changes with dates, so that a figure from two years ago can still be interpreted.

What it does not have

A dashboard on a wall that nobody acts on.

Benchmark comparisons against other organisations, whose definitions differ.

Individual-level data.

Or a vendor-supplied conclusion, which is a sales document rather than analysis.

What to check

Does your programme have a named decision and a threshold?

Is there an end or review date?

Has anybody calibrated against observation?

And is there a written statement of limits that staff have actually seen?