How to create a Jira timesheet report by person and period - timesheettracker
Jira's native reporting is sprint monitoring, not time analysis. A Jira timesheet report needs hours by person, period, project totals, and a finance export.
Finance asked for last month’s hours by person, split by project. What you have in Jira is worklogs sitting on issues.
Native reporting is built for sprint monitoring, not time analysis. Worklogs per issue are not a full-picture report. A Jira timesheet report is the other job: hours by person and period, project or epic totals, then an export payroll or billing can open.
How to get a Jira timesheet report from worklogs
Start with what Jira already stores.
Every hour lives on a worklog. Native Jira shows those worklogs per issue. Open the ticket, read who logged what, move on. That is useful when you are looking at one issue. It is not a report of the week, the month, or the team.
Built-in time logging is one issue at a time. There is no weekly view in that flow, and no team picture unless someone opens more tickets.
So the how-to is not a hidden native screen. It is: take the worklogs you already have, then cut them the way PMO and finance actually ask.
A usable report answers four questions:
- Who logged the hours — a person, not only the ticket you happen to have open
- Which period — a day, a week, a month, or a custom range that matches payroll or a client month
- Where the hours sat — project or epic, not only a scroll of issue rows
- What the totals are — so nobody is summing in a side spreadsheet
If your process is still “open each issue, copy hours, hope they add up,” you have worklogs. You do not have the report.
The next two sections are those dimensions, then the export. A Jira admin who never installs anything else still needs that picture: native is sprint monitoring and worklogs per issue; a usable report is person, period, project or epic, and a file finance can use.
Hours by person, period, project, and totals
A report by user starts with a person and a window of time. Project and epic totals sit on top of that, so PMO is not reading a dump of tickets.
Hours by person and date range
Filter to one person. Then set the period.
Date range should be a day, a week, a month, or a custom range. Pay periods and client months rarely line up with a sprint, so a custom window matters.
You should see that person’s worklogs in that range — searchable and sortable — without opening their issues one by one.
That is the per-user view. Same worklogs Jira already stored. The difference is you are looking at the person and the period, not the ticket on screen.
Project or epic totals, not only issue rows
Issue rows tell you tickets. Finance and PMO ask for the workstream.
Group and summarise worklogs by project, epic, sprint, or assignee. You want project-level and epic-level hour totals, not only a list of issues.
Filters stack. Combine project with assignee and date. You can also filter by issue type and by custom fields when the question is narrower than the whole project.
If the file still starts as a flat list of tickets with no project or epic totals, someone in finance will rebuild it. That is the redo you are trying to avoid.
Export for finance
The report is not finished until it leaves Jira in a file someone else can use.
CSV and Excel from the same filtered view
Export CSV and Excel from the filtered view you already set — same person, same period, same project or epic cut.
Do not filter in Jira, then rebuild the same cuts in a spreadsheet. The file should match what you just looked at.
Typical uses: payroll, client invoices, or audits. That is the use case, not a promise that payroll will be perfect. Who can export should follow existing Jira roles.
Totals finance will not send back
The job, in the language teams already use: a report finance will not ask to redo. Filters instead of pivot tables. CSV that does not need manual reformatting before it lands in front of the CFO.
Project managers want the same thing: an exportable report that is ready when they need it, not after a Friday cleanup.
If finance still has to group by person, fix the dates, and add project totals, you exported a worklog dump. You did not export the report.
How Rymo does this job
Rymo is a Jira Cloud timesheet app from Build To Serve. It sits in Jira — no separate login, existing users and permissions — and treats worklogs as something you can filter, group, and export.
Filter by project, epic, sprint, assignee, and date
On the worklog reports view you filter by project, epic, sprint, assignee, or date range. Combine those filters. Add issue type or custom fields when you need a tighter cut.
Date range is day, week, month, or custom. Results update as you change the filters.
There is also a timesheet inside Jira if the job is logging the week rather than reporting it. Weekly and monthly views exist; this article is the report, not a tour of the grid.
Group, summarise, and export
Group and summarise worklogs by project, epic, sprint, or assignee. You get project and epic hour totals, not only issue rows. Worklog history is searchable and sortable.
Export CSV and Excel from that same filtered view. Same cuts, same file.
Pricing: Free for 10 users. Standard is $0.40/user/month. Reports and CSV/Excel export are on both plans. 30-day trial, no credit card. Billed through Atlassian Marketplace. Works with Jira Software and Jira Service Management on Jira Cloud.