Tracking time in Jira is an important part of how many teams work. When team members log their time (called worklogs in Jira), it helps everyone understand how effort is distributed across tasks and projects.
This information is useful for planning, reporting, billing, and retrospectives. The good news is that Jira already includes a built-in time tracking feature, so teams can start logging time without installing anything extra.
However, while Jira works well for collecting time data, working with that data is a different story.
In Jira, a worklog is a record of time spent on an issue. When you log time, you are simply saying: “I worked X hours on this issue on this date.”
Each worklog contains basic information: who did the work, how much time was spent, when it happened, and optionally a short comment. Over time, these records form a valuable dataset about how your team actually works.
At first glance, Jira’s time tracking seems simple and sufficient. But as soon as teams try to use this data for reporting or decision-making, several limitations become clear.
The first challenge is that worklogs are scattered across individual issues. This makes the data fragmented by design. While it is easy to see time spent on a single task, getting a full picture across projects or teams is much harder. Even simple questions like “How much time did we spend this week?” require extra effort.
Another common expectation is a timesheet view - a clear summary of hours per user over a selected period. Surprisingly, Jira does not provide this out of the box. There is no simple weekly or monthly overview, which often forces teams to export data and process it manually.
Reporting is also limited. Jira’s built-in reports are focused on issues rather than time analysis, so creating flexible reports - for example, grouping time by user, project, or epic - quickly becomes complicated.
This becomes even more noticeable in organizations working across multiple projects. Jira does not offer an easy way to combine worklogs into a single, cross-project view, which makes it difficult for managers, team leads, or finance teams to analyze time at a higher level.
Finally, extracting data is not always straightforward. Export options are limited, and the data often requires additional cleanup before it can be used in reports or external tools.
In short, Jira works well as a time tracking tool, but not as a time analysis tool.
Because of these limitations, many teams turn to the Atlassian Marketplace in search of better reporting tools.
These apps typically add timesheets, dashboards, and advanced reports. At first, this seems like the obvious next step. However, it often comes with trade-offs.
Many time tracking apps replace Jira’s default time tracking provider and introduce a new way of logging time. This can disrupt existing workflows and require additional training for teams.
More importantly, some apps store worklog data outside of Jira, on their own infrastructure. This means your data is no longer stored only within your Jira instance, which can raise security and compliance concerns. Over time, this can also lead to vendor lock-in, making it difficult to move away from the solution.
Many teams already know Teamployees as an app for managing vacations and sick leaves.
Now, we’ve introduced Worklogs - a new additional feature in Teamployees.
With Worklogs, we took a different approach.
Instead of replacing Jira’s time tracking, we focused on improving what is already there. The idea is simple: keep Jira as the source of truth, and make worklog data easier to view and analyze.
Worklogs fills the gap in Jira by providing a clear and intuitive way to visualize, filter, and export time tracking data. It gives teams the visibility that is missing in Jira, without forcing them to change how they log time.
A key point is that Worklogs in the Teamployees app does not replace Jira’s native functionality.
All worklogs remain securely stored inside your Jira instance on Atlassian infrastructure, with no data transferred to external servers.
At the same time, Worklogs enhances how you work with this data. It provides flexible time views (by day, week, or month), powerful filtering by users and projects, and advanced grouping options - for example by issue, status, or priority. You can also easily export worklog data to Excel for further analysis or sharing.
Worklogs works exclusively with Jira’s built-in time tracking, so teams can continue logging time as usual while gaining better visibility and reporting capabilities.
Worklogs in Teamployees is already available on the Atlassian Marketplace, so you can enhance your time tracking experience without changing your workflow or introducing additional risks
Tetiana Bondar
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