Check time tracking of a ticket

The ticket time stats in Leadtime show all logged hours compared to the plan, including filter and correction options.

In Leadtime, you can log time directly on individual tickets to track actual effort compared to planning in detail. This transparency makes precise project management possible: leaders spot deviations early, and teams can reflect on their work steps based on data.

How it works

In lots of projects, several people work on the same ticket one after another—like for development, testing, or management. Each person logs their hours on the ticket, which makes the total effort add up automatically. Leadtime compares this booked time with the original plan so you can instantly see when a ticket goes off track.

To the ticket system

View timeframe on ticket

In the right column of a ticket, you'll find the Timeframe area.

There you'll see how many hours have already been booked—like 90.75 hours out of 40 planned—and just how much the actual effort has strayed from the plan.

A tooltip shows the exact sum of all bookings when you hover over the display.

Create task

Estimate working time

Open detailed time stats

By clicking on the time frame, you'll open the time stats for the ticket.

Here, you can see all the team members' individual bookings – including date, activity, time spent, and comments.

The view lists out, in order, who booked how much time on which activity and when. That way, you can see exactly how the whole time is made up.

Filters and analysis

To analyze the data in detail, you've got several filter options:

  • Date: sorted by days or weeks

  • User: only shows bookings of certain team members

  • Activity: separated by tasks like Development, Testing or Management

  • Comment: shows extra notes

This analysis helps to spot how time is spent – like if testing took way more effort than expected.

Edit time bookings

Each row can be changed with the edit icon or removed with the delete icon.

You can also use “Book time” to add new entries – for example, adding time later with details like:

  • Date

  • Activity

  • Duration

  • Comment

These features secure data quality and allow complete documentation.

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