Time tracking that people actually keep up
Every team that adopts time tracking abandons it around week three. The reason is almost never laziness.
Time tracking has a terrible reputation, and mostly it has earned it. Teams adopt a timer, use it religiously for eleven days, then quietly stop. Six weeks later the data is worthless because it covers a third of the work.
The failure is nearly always the same: someone tried to track time as it happened. That works until the first day you get interrupted, which is every day.
Kronos has two modes, and one of them is the real one
Kronos gives you a one-click start/stop timer and manual entry. The timer is the one everyone reaches for and the one that gets abandoned.
Manual entry is the mode that survives contact with a real week. You sit down once — end of day, or the following morning — and reconstruct: two hours on the migration, forty minutes on the client call, an hour lost to a build that would not finish. It takes about ninety seconds and it is accurate to within a quarter of an hour, which is more precision than any decision you will make with the data requires.
Use the timer for the exceptions: work you bill by the minute, or a task you genuinely want to measure because you suspect it takes longer than everyone believes. For everything else, reconstruct.
Categories: fewer than you want
Kronos logs are categorised, and this is where teams over-engineer on day one. Fourteen categories means every entry becomes a small classification decision, and small decisions repeated forty times a week are how a habit dies.
Start with four or five that map to questions you will actually ask. For an agency: client work, internal, sales, admin. For a product team: feature work, bugs, review, meetings. If you cannot name the question a category answers, it is not a category, it is a wish.
You can add more later. Adding is easy; removing a category means deciding what to do with six months of entries filed under it.
Reading the reports without ruining the team
Kronos reports at project level and across the team, and this is the part that decides whether people keep entering data honestly.
The useful question is where the work went, not who worked hardest. A report showing that a project consumed 180 hours against an estimate of 90 tells you your estimating is wrong, which is worth knowing. A report ranking people by hours logged tells you who is most diligent about entering data, which is worth nothing and will corrupt the data within a month.
Three things worth looking at monthly:
- Estimate versus actual per project. The gap is the number that improves your next quote.
- Share of time in meetings. Not to reduce it reflexively, but because a team that discovers it is at 40% usually did not know.
- Work with no project attached. If a fifth of logged time is uncategorised, something real is happening that has no name yet.
Export exists for the reports that need to leave Lodos — an invoice attachment, a client report. Do the analysis in Kronos and export the conclusion, rather than exporting raw rows into a spreadsheet where they stop being connected to anything.
Connecting time to tasks
Time entries can attach to a project, and projects are the same ones your Task Management boards use. That connection is what makes the data mean something: without it, you have hours; with it, you have hours against deliverables.
One habit worth adopting: when a card moves to done, log the time on it before you close the tab. Not later. The estimate you will make later is worse than the one you can make now, and "later" is where time tracking goes to die.
What it will not do for you
Kronos measures duration, not value. Four hours on the right problem beats eight on the wrong one, and no report will tell you which was which. If your team starts optimising for logged hours, the tool is being used as a performance metric and the numbers have already stopped meaning anything.
It also will not track time you do not enter. There is no background monitoring, no screenshots, no activity detection — deliberately. That means the data depends on the habit, which is exactly why the habit needs to be one people can keep.
Questions people actually ask
Do I have to use the timer?
No, and for most work you should not. Manual entry at the end of the day is accurate to about a quarter of an hour and it survives interruptions, which the timer does not. Save the timer for work you bill by the minute.
Can I add time for a day I forgot?
Yes. Manual entries take any date, so a Monday morning reconstruction of the previous week works fine. The further back you go the rougher it gets, but rough data covering everything beats precise data covering a third of it.
Can other people see my time entries?
Within a workspace, team reports aggregate everyone's logged time. Treat that as a view of where the work went rather than a productivity ranking — the moment it becomes a ranking, people start entering what looks good instead of what happened.
How many categories should we create?
Four or five, each answering a question you will actually ask. Fourteen categories turn every entry into a classification decision, and that is how the habit dies in week three.