Version Workload
Report
Turn a Jira version into an assignee-by-assignee
workload breakdown, who's carrying what, how much
time is spent versus remaining, and what's still
unassigned.
What is a Version Workload Report?
A Version Workload Report summarizes how work for a specific release version is distributed across the team,
the version overview, development schedule, team members by role, an issues overview, a per-assignee
workload breakdown with time tracking, and any unassigned issues still waiting to be picked up.
Where a Release Planning Report covers what's going into a version, a Version Workload Report covers who's
actually doing the work and how the load is distributed. It answers a question a scope list can't: is this workload
realistic for the people assigned to it, or is someone quietly overloaded while an issue sits unassigned?
Who should receive it?
Anyone responsible for balancing capacity or unblocking work before a release date slips.
Engineering managers
Check whether workload is distributed evenly or concentrated on one or two people.
Scrum masters
Use it to spot unassigned issues before they become a late
surprise.
Product managers
Confirm the team has bandwidth to hit the planned release date.
QA leads
See original estimate versus time spent across the version to plan testing capacity.
When should it be sent?
Mid-version
to catch workload imbalance or unassigned issues while there's still time to react
Before the code freeze date
to confirm remaining estimates are realistic against what's left on the calendar
When a release date is at risk
to see exactly where time is going, and where it isn't
At team capacity planning
to inform how work gets assigned in the next version
When someone leaves or joins the
team mid-version
to re-check how the remaining workload lands
Essential sections, with examples
Six sections, moving from context to individual workload.
Version Overview
Version name, project, and a plain-language description of what the version is meant to deliver.
Example:
RP-26.6.24 · Project: Black Box · "Deliver new features for the customer portal, including chatbot integration and an analytics dashboard."
Development Schedule
Key dates from development start through code freeze, QA testing, and planned release, laid out as one sequence.
Example:
Dev Start 2024/07/01 Code Freeze
2024/07/11 QA Testing Ends 2024/07/17
Release 2024/07/18
Team Members
Everyone involved, grouped by role, so it's clear who's building, managing, and testing the version.
Example:
Developers: Saul Harber, Matt Cullerton, John
Doe, Peter Copter, Akash Gomase · QA
Engineers: same team, cross-functional
Issues Overview
A count of epics, stories, bugs, and tasks in the version, the scale of the workload before it's broken down by person.
Example:
1 Epic · 5 Stories · 3 Bugs · 0 Tasks
Workload Breakdown
Per-assignee tables showing each issue's status, original estimate, time spent, and remaining estimate, the section that actually shows who's carrying what.
Example:
Matt Cullerton, BLB-7, Done, original estimate 3 weeks 4 days, time spent 1 week 1 day, remaining 3 days
Unassigned Issues
Estimated issues with no owner yet, flagged separately so they don't get missed in a per-person breakdown.
Example:
BLB-13, Sorting functionality in the analytics
dashboard is not functioning as expected,
Major, 4 days, unassigned
Common mistakes
Burying unassigned issues inside the general list.
They need their own section. An unassigned Major-priority issue is a risk, not a footnote.
No remaining estimate.
Time spent without a remaining estimate tells you effort, not whether the version is still on track.
Grouping by team instead of by person.
A team-level roll-up hides the one person who's overloaded while someone else has room.
Skipping the development schedule.
Workload data means little without the dates it's supposed to fit inside.
Treating "Done" status as the end of the story.
A completed issue with a large gap between original estimate and time spent is worth a look, not a report entry to skip past.
Generating it too late.
A workload report pulled the day before code freeze is a postmortem, not a planning tool.
Example report
A real report, recreated here from live Jira data. Swap in a full screenshot once the final export is ready.
How to automate it with ARNR
Three steps replace the manual pull from time tracking and assignee fields that this report usually requires.
Connect Jira
Link your Jira instance once. ARNR reads version issues, assignees, and time tracking directly.
Pick the Version
Choose the release version and select this template from the library.
Get your report
ARNR groups issues by assignee, pulls original estimate versus time spent, and flags unassigned issues automatically, then hands you a PDF or a live link to share.
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