Timesheets

Overview

To view a timesheet go to Apps > Clockwork from the main Jira menu and click Timesheets in the left nav bar.

Open

Set up the Timesheet the way you want

The Timesheet in the My Work tab shows the timesheet of the currently logged user and the one in the Timesheet tab shows the timesheet of all users. You can define who should have access to the Timesheet tab in Permissions.

Open

The toolbar in the top left corner allows you to configure:

• the date range,

• projects,

• time zone,

• filters and breakdowns

The right-side toolbar offers additional functions:

• Show as Time or Cost - allows you to select the Time Format ((HH:MM, minutes, hours, mandays) or Money (Costs and Rates)

• Sum the time worked by Days, Weeks, Months, or Quarters

• Export to an Excel/CSV file

• View issues included in the timesheet in the Jira Issue Navigator

• Send email to selected users

• Compare the hours reported in the timesheet to the working hours that have been set for the instance, project, or user

• Add worklogs to the Timesheet

In Timesheet header:

• Add an additional column, including: Original/Remaining Estimates, Components, Current Status, Label

Select a Date Range, Project and Timezone

Pick one of the predefined options or use the calendar to set up a custom time range.

Select which projects' time you want to review.

Choose from which Time Zone perspective you want to view the time.

Filter & Breakdown Options

Once you have configured the date range and projects for the timesheet, use the filter and breakdown options to further define which worklogs will be included and how the data will be organized on the Timesheet.

The example below shows a timesheet for a custom date range for 3 selected projects, filtered for a single team broken down by users, epics, and issues.

Preview the Worklogs details

To see what Worklogs contributed to a summed-up value on a single day or week, click on the entry.
A pop-up will appear and you’ll be able to see all the worklog details that a user has added to every worklog, including information on how the time was logged: manually, clocked, or automatically (Time tracking mode visibility is available only in Clockwork Pro).

Adding a timesheet column

Select what additional field you would like to add to the Timesheet view. You can select from:

• Original/Remaining Estimate

• Components

• Current Status

• Label

Actual Time Spent vs Estimate

Clicking on the Display Original Estimate and Remaining Estimate icon displays two additional columns on the left side of the timesheet, allowing you to see the Original Estimate and the current amount of Remaining Estimate of the issue, and the Total Time Spent within the selected time range.

Epics and other parent issues will show the sum of Estimated, Remaining and currently logged time for all of their child issues. Drilling down on the epic will show the values of the individual child issues.

To use this feature, add an Original estimate on the the issue. The Estimate will be used with time logged to calculate the Time remaining.

Clockwork will update the Time remaining automatically when you:

• Move your task from an active status (if automatic time tracking is enabled)

• Stop a timer

• Log time manually

You can also change the Time Remaining when adding time manually or directly on the issue.

Custom Fields in Timesheets

Clockwork gives you multiple options for filtering and breaking down your timesheets, including custom fields. Those work a bit differently on filtering, though. You first need to load them to filter them.

Currently, you can include the following custom field types in your timesheets:

• Checkboxes

• Labels

• Number field

• Radio buttons

• Select list (cascading)

• Select list (multiple)

• Select list (single)

• Short text (plain text only)

• URL field

• Jira Service Management – Organizations

Advanced Issue Hierarchy

You can set up custom hierarchies using Jira Premium to reflect issues beyond Epics. Once you configure it in Issue Type Hierarchy you can use it in Clockwork to group data by hierarchy levels and see time spent on every level of your hierarchy, including summaries from levels below.