Who Is Carrying What
Time data can show that work is distributed badly, which is a management finding. The same data ranked by person is the thing to avoid.
Analysis
Effort data reveals imbalance, and the distinction between noticing imbalance and ranking people is the whole difficulty.
What the data can show
Sustained hours beyond contracted, concentrated in particular people or roles.
Unbilled and invisible work — supervision, onboarding, incident response, the internal fixing — concentrated in the same few.
On-call and call-out burden falling unevenly.
Concurrent commitments, where some people are spread across six projects and others across one.
Interruption load, visible as fragmented entries.
Each is a finding about how work was allocated, not about who is better.
Why this matters beyond fairness
The invisible work is load-bearing. Supervision, review and helping people are what keep an organisation functioning and are the first things an individual target removes.
It is unevenly distributed in ways that track predictably: newer managers, the people who are good at explaining, and — in most organisations, consistently — some groups more than others.
Concentrated unrecorded load predicts departure, and the departure of the person everything routes through is expensive in a way no metric captured.
Making it visible
Record the invisible categories and make them as easy to enter as billable ones.
Do not penalise them. An organisation with an individual billable target has instructed everyone to stop recording supervision, and then cannot see it.
Report them as portfolio investments, not as leakage.
Look at the distribution, not the average. The mean supervision hour tells you nothing; the concentration does.
The line
Noticing that one person has worked sixty hours a week for a quarter is welfare, and acting on it is an obligation.
Ranking the team by hours worked is something else, and it produces the behaviour described throughout these notes.
The practical distinction: a measure reported in aggregate that prompts a conversation with an individual is fine. A measure reported per individual for comparison is not.
And the direction matters. Looking for people working too much is a different activity from looking for people working too little, and only the first is what this data supports.
Acting on it
Rebalance the allocation, which is the manager's job and is what the finding is for.
Name the invisible work in role expectations, so it is not simply absorbed.
Rotate on-call and support duty, with the distribution reported.
Reduce concurrent commitments, which improves elapsed time without more effort.
Check whether the same names appear across several of these measures, which is the pattern worth a conversation.
What to report
Hours beyond contracted, distribution not average.
Unbilled effort by category, and how concentrated it is.
On-call and call-out distribution.
Concurrent commitments, median and maximum.
Reported to whoever allocates work, because that is who can change it, and not as a league table to anyone.
The direction that matters
A distinction that keeps this analysis usable.
Looking for people working too much is welfare, and acting on it is an obligation in several jurisdictions.
Looking for people working too little is performance management, and the data does not support it.
Only the first is what this data is for.
Report the distribution of hours beyond contracted, not the average, and route it to whoever allocates work rather than to whoever assesses people.
If the analysis is being requested in the second direction, that is the conversation to have before producing anything.
The names that recur
The pattern worth a conversation, visible only if you look for it.
Check whether the same people appear across several measures: hours beyond contracted, unbilled effort, on-call burden, concurrent commitments.
Concentration across all four is the signal, not a high figure on any one.
It predicts departure, and the departure of the person everything routes through is expensive in a way no metric captured beforehand.
Route the finding to whoever allocates work.
And do something, because noticing without rebalancing is worse than not noticing.
A concrete product reference
When translating this principle into a buying test, the education-team example provides a concrete feature and workflow reference. Verify the relevant behaviour in a trial, retain the exported evidence and judge it against the purpose and limits described above.