What the hours are actually for
Tracked time answers one question well: what does this kind of work really cost us? Everything else is a side effect.
Kronos tracks time against projects and tasks and turns it into reports. Whether it helps depends almost entirely on what you decide the numbers are for.
The question worth answering
Most teams quote new work from memory, and memory systematically underestimates. You remember the four hours of design and forget the six hours of revisions, the two calls, and the afternoon spent waiting for an answer.
So the value is in the comparison: what did we say this would take, and what did it take? After three or four projects of the same shape you can quote with a number instead of a feeling. That one habit is worth more than every other report the module produces.
The timer you left running overnight
Everyone does this. The fix is not to feel bad about it; it is to edit the entry down to what actually happened and move on. An eleven-hour entry that nobody corrects makes the whole dataset untrustworthy, and one untrustworthy week is enough for people to stop believing the reports.
Retroactive entry is fine, within a day or two. Beyond that you are inventing numbers, and invented numbers are worse than missing ones — a gap is honest, a guess is not.
Track at the level you would bill
If you bill by project, track by project. Splitting into twelve sub-activities produces a beautiful pie chart and hours of admin nobody asked for, and the extra detail changes no decision you will actually make.
The test for any category: if this number came back high, what would we do differently? If the answer is nothing, the category should not exist.
The one use that ruins it
Using timesheets to check whether people are working enough kills the data within a month. Not because anyone lies outright, but because the incentive shifts from recording what happened to recording what looks acceptable — and once that starts, the numbers are worthless for quoting, which was the point.
Say out loud what the data is for and what it will never be used for. People will track honestly for a purpose they believe in, and only for that.
Questions people actually ask
What is time tracking actually good for?
Comparing what you said a job would take against what it took. After three or four similar projects you can quote from a number instead of memory, and memory always underestimates revisions and waiting.
I left the timer running all night — now what?
Edit the entry down to what really happened and move on. One uncorrected eleven-hour entry makes the whole dataset untrustworthy, and people stop believing the reports after a single bad week.
How detailed should tracking be?
Track at the level you would bill. For any category, ask what you would do differently if that number came back high; if the answer is nothing, the category should not exist.
