Booking Now and Writing Off Later
Hours booked in one quarter can be waived in another. The timing gap lets a figure look good for two reports before the money arrives.
One firm's quarter, with the figure it published and the one it did not
94.1%
Numerator: Hours recorded against client codes in the quarter
Denominator: Available hours after leave and committed internal time
The highest utilisation figure the firm had ever reported.
Realisation on the same population was 61.8%, against 88.4% two years earlier. So 58.2% of available hours became invoiced value, while the measure on the dashboard reached the highest figure the firm had ever reported. One firm's own quarter, not a benchmark.
Utilisation is counted when time is recorded. Write-offs settle when invoices are negotiated, which is one to two quarters later.
The practical lesson in “Booking Now and Writing Off Later” is that a convenient number should open a question rather than end one. A team considering gdpr employee monitoring for professional services for gdpr employee monitoring can add consistent time and project context, with transparent settings, limited access and a documented review process around every material interpretation.
That gap means a high utilisation figure and the write-off that cancels it appear in different reports, and often in front of different people.
For an independent reference relevant to “Booking Now and Writing Off Later”, consult California labor standards resources. Compare the general material with the organisation’s own definition, contract and decision process.
The mechanism
Hours go on a client code. The ratio rises this month. The invoice goes out next month and is reduced the month after.
By the time the reduction is known, the utilisation report that counted those hours is two cycles old and nobody is looking at it.
Why this is not usually deliberate
Mostly it is not. An engagement overruns, the hours are recorded because they were worked, and the partner later decides not to charge the client for all of them.
Each step is correct. The reporting consequence is that effort gets counted and the discount does not appear beside it.
Where it becomes a pattern
In firms with a utilisation target and no realisation reporting. The incentive is to record, and the consequence of recording unbillable hours falls on somebody else's report.
The pattern then runs for a year or more because no single report shows both halves.
The state it produces
Very high utilisation, falling realisation, flat or falling revenue. All three are true at once and the first is the one on the dashboard.
A firm in this state believes it has an efficiency success and a separate pricing problem.
Why the two look unrelated
Different owners. Utilisation belongs to operations or practice management; realisation belongs to finance.
Two reports, two meetings, two months apart. The connection requires somebody to be in both, which is often nobody.
The fixed-fee version
Worst case. Hours past the quoted fee raise utilisation and produce no revenue at all, and the overrun is known immediately.
A firm with fixed-fee work and a utilisation target has built a mechanism for rewarding overrun.
The correct treatment
Report both measures on the same line for the same population, with realisation on a rolling quarter and labelled as lagging.
A lagging figure clearly labelled is more useful than a current figure that omits half the transaction.
The product that matters
Utilisation multiplied by realisation: the share of available hours that became revenue.
It is one multiplication, it is almost never reported, and it moves in the right direction only when both halves do.
What to watch on an engagement
Recorded hours against the fee, during the engagement rather than after.
Most write-offs are visible as an overrun weeks before they are settled as a discount, and that is the point at which something can be done.
Who the write-off should be attributed to
The scoping or pricing decision, not the person who recorded the hours.
Attributing it to the individual moves blame to the only participant who made no commercial decision, and it teaches people to stop recording overrun, which removes the warning.
The chart worth drawing
Plot utilisation and realisation together for the last eight quarters. Where they diverge, the firm has been reading one half of its own position.
Divergence of more than a few points over a year is common and it is almost always news to somebody in the room.
The engagement-level view
Recorded hours against the fee, during the engagement. Updated weekly, visible to whoever can act.
Most write-offs are visible as an overrun long before they are settled as a discount. At that point the options are still open: reprice, rescope, or stop.
After the invoice there is one option, which is to absorb it. The engagement view is the difference between a decision and a consequence.
Why this is a reporting problem rather than a behaviour problem
Nobody in the chain is doing anything unreasonable. Hours worked are recorded. Invoices are negotiated by people whose job is the relationship. Discounts are approved by people weighing a client against a quarter.
The failure is entirely in the reporting: two halves of one transaction counted in different systems, owned by different functions, presented in different months.
Firms look for a behavioural explanation because the pattern looks like something somebody is doing. It is not. It is what happens when a measure counts the claim and nothing counts the settlement on the same page, and it would occur in a firm of entirely scrupulous people.
The five write-off reasons
Overrun, quality, client negotiation, relationship goodwill, fee cap. Recorded at the point the reduction is approved, by whoever approves it.
Five codes, chosen from a dropdown, taking a few seconds each.
They turn realisation from a single percentage into a diagnosis, and they attribute each reduction to the decision that caused it rather than to the person who recorded the hours.
The short statement
An hour booked is a claim. An hour collected is a fact. A firm that measures claims and targets them will get more claims.