Over the past months, Issue History Reporter for Jira has evolved based on feedback and requests from the Atlassian Community. The focus has been on giving users more control over how work items are selected and more precision in historical analysis.
This article highlights the most important additions.
Originally, Issue History Reporter for Jira allowed feeding data primarily by Project.
Users asked for more flexibility, especially in large Jira instances or cross-project scenarios. As a result, the app now supports feeding work items using multiple criteria, allowing much more targeted and efficient reporting.
You can now feed work items by:
Assignee
Filter
Issue
Issue Type
Label
Project
Summary
Creation Date
Priority
Reporter
Status
Sprint
Version
This makes it easier to:
focus on exactly the issues you care about
work across multiple projects without noise
reuse existing Jira filters
limit data volume while increasing relevance
In addition to the expanded Get work items by options, the initially loaded data can be further filtered using the same set of fields.
This creates a powerful two-stage workflow:
Feed issues broadly using one or more criteria
Refine the result set using the same fields as filters
For example:
feed issues by Project and Issue Type, then filter by Assignee and Status
feed by Filter, then narrow results by Sprint or Priority
feed a wide historical set, then iteratively refine it without reloading data
This approach gives users:
much finer control over the final dataset
faster iteration without repeating expensive data loads
the ability to explore and refine results interactively
For many users, this combination of flexible data feeding + consistent filtering becomes a key productivity feature.
Another frequently requested capability from the community was the ability to see how issues looked at a specific point in time, not just how they changed over time.
To address this, a new report type has been introduced:
With Issue Snapshot, you can:
select a specific date
view the state of each issue as it was at that moment
see field values exactly as they existed then
This is useful for:
audits and compliance checks
post-mortems and retrospectives
historical reporting
answering βwhat did this issue look like on that date?β
Issue Snapshot complements Issue History:
Issue History explains how issues changed
Issue Snapshot shows what the issue looked like at a given moment
These enhancements move the app beyond a project-centric view and toward precision reporting:
flexible, multi-criteria issue selection
consistent filtering on already-loaded data
better alignment with how teams actually work in Jira
clearer historical understanding of work items
The goal remains the same: provide accurate, exportable issue data that users can analyze in their own tools (Excel, Power BI, AI tools, etc.).
The expanded data-feeding options, consistent filtering model, and the new Issue Snapshot report were all introduced in response to requests from the Atlassian Community. Feedback continues to shape the direction of the app, and further improvements are planned along the same principles.
If you have use cases or ideas youβd like to see supported, feel free to share them.
Petru Simion _Simitech Ltd__
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