Everybody Hitting the Target Exactly
A firm's utilisation distribution had a spike at exactly the target and a gap above it. What that shape proves and what it does not.
Where 78 people's annual figures fell, against a target of 80%
Supervisors, part-time staff, two returners, one delayed team.
A one-point band holding nearly a third of the firm.
Thin, where a genuine improvement would have overshot.
Nine of them absorbed by one large engagement all year.
A spike exactly on the threshold and a gap immediately above it. Real performance does not produce that shape; the absence of overshoot is the informative part. One firm's own distribution, not a benchmark.
A firm of seventy-eight fee earners set a utilisation target of eighty per cent. The distribution of individual annual figures had twenty-four people between 80.0 and 80.9 per cent, and nine people between 81 and 84.
The people risk in “Everybody Hitting the Target Exactly” is not solved by collecting a more detailed activity score. Used for stealth computer monitoring software, read how the process works can provide transparent time and project context, but individual conclusions still require a published method, a correction route, direct conversation and proportionate human review.
Real performance does not produce that shape. The spike is the target.
Teams documenting “Everybody Hitting the Target Exactly” may use GOV.UK working-hours guidance as an outside reference. Keep the source record, calculation rule and resulting decision visible as separate steps.
What a natural distribution looks like
Roughly continuous, wide, with a long tail at the bottom from bench time, leave and role differences.
No reason for any particular tenth of a point to be more populated than its neighbours.
What this distribution looked like
A spike one point wide sitting exactly on the threshold, with a noticeably thin band immediately above it.
Nearly a third of the firm in a one-point band, with a gap on the high side.
Why the gap above matters
If people were genuinely improving, some would overshoot. The absence of overshoot is the informative part.
It indicates that recording stopped once the threshold was passed, which is the eighth response in the behaviour catalogue.
How the spike forms
A person tracking toward eighty-three has ambiguous hours each week. At eighty-one they book them to internal codes, because there is no benefit to going higher and some benefit to internal time being visible.
Entirely rational and it produces exactly this shape.
What the shape does not prove
That anybody misstated anything. The hours in the spike are defensible individually.
Nor does it prove the firm's underlying utilisation is low. It proves the reported figure is being managed to a threshold.
Who was above the target
Fourteen people, of whom nine were on a single large engagement that had absorbed them full-time for most of the year.
Their figures were high because of allocation, not because they had responded to the target differently.
Who was below
Thirty-one people: supervisors, part-time staff, two returners, and a team whose client work had been delayed for two quarters.
In other words the structural cases from the person section, grouped at the bottom as they always are.
What the firm concluded first
That the target was working, because the average had risen and most people were at or near it.
The distribution had been produced for the pack for three years and nobody had looked at its shape, only at its mean.
The check that changed the reading
Plotting the histogram rather than the average. One chart.
The spike was immediately obvious to everybody who saw it and nobody argued with the interpretation.
What the firm did
Removed the threshold, kept the measure, published non-billable composition.
The following year the distribution was wider and the mean was two points lower, which was the reclassification unwinding.
What recovered
Recorded internal and training hours, by about a third. The firm now had a non-billable breakdown it could use for the pitch-cost and supervision questions.
Spread widened in the direction of the structural cases, which were then addressed as allocation problems rather than as performance ones.
The diagnostic worth keeping
A histogram of individual figures, once a year, whatever the reporting arrangement.
If there is a spike at any round number, that number is functioning as a target whether or not anybody set one.
The histogram as a standing check
Once a year, the distribution of individual annual figures, plotted. Nothing else required.
It takes minutes, it needs no new data, and it answers a question no average can: whether the reported figures are being shaped by a threshold.
A firm with no formal target can still find a spike, which is how an informal expectation announces itself.
What the shape looked like the following year
Wider, with no spike, a mean two points lower, and a longer tail at the bottom.
The tail was the structural cases becoming visible again: the supervisors, the part-time staff, the returners and the team whose client work was delayed.
All four had existed the previous year and had been compressed upward into the spike by the threshold. Removing it did not create those cases; it stopped disguising them, which is why the first year after a target is removed looks worse and is more informative. The firm then addressed each of the four as what it was, and three of the four turned out to be allocation questions with owners.
What the mean concealed
The firm's average had risen from 74 to 79 over three years, which read as steady improvement.
Underneath it, a third of the firm had converged on a one-point band and the structural cases had been compressed upward into it.
An average is a single number summarising a shape, and the shape was where all the information was. Three years of packs reported the summary and never the shape.
The general form
Any threshold in a self-reported measure produces a spike at the threshold and a gap above it. The shape is the signature, and it is visible in one chart that most firms have never drawn.