Searching Jira comments across many issues is harder than it looks. Native search and JQL can handle some scenarios, but combining comment text, author, dates, and issue fields usually requires complex queries that are difficult to build and maintain.
There is a more practical approach: load the relevant issues using structured criteria, then apply powerful filters on both issue fields and comment fields — without writing JQL.
Advanced Comment Search for Jira is built by our team around this workflow.
It gives you:
versatile ways to load issue data
structured filtering across issue and comment fields
sortable table visualization
CSV export
All without requiring query syntax.
Marketplace link: Advanced Comment Search for Jira
The first step is selecting how to load the raw issue dataset. Instead of starting with a query, you can load issues using structured controls.
Issues can be loaded by:
assignee
creation date
saved Jira filter
issue key
issue type
label
project
priority
reporter
sprint
summary
version
This allows you to define the working dataset precisely before applying any comment search conditions.
Typical examples:
load all issues from a project and version
load issues created within a date range
load issues with a specific label
load issues assigned to a particular user
load issues from an existing Jira filter
In many cases, this replaces the need to write JQL just to define scope.
Load issues using structured criteria instead of writing queries
After loading the dataset, you can refine it using structured filters that target both issue attributes and comment attributes — within the same filtering workflow.
You can filter by:
issue type
issue key
summary contains
summary does not contain
creation date from / to
priority
version
status
reporter
assignee
You can filter by:
comment author
date of change from / to
comment contains text
comment does not contain text
Because these are structured filters, you can combine conditions without query syntax and adjust them quickly.
Example scenarios:
find issues where comments contain a keyword within a date range
find issues with comments written by a specific author
include one phrase and exclude another
restrict results to certain issue types or priorities
Filter by issue fields and comment fields using structured controls — no JQL required
Results are displayed in a table where each row represents an issue with its related details and comment data fields.
You can sort the table by columns such as:
issue
author
dates
and other visible fields
This makes it easy to review and analyze results visually before exporting.
Sort and review results directly in the table view
Filtered results can be exported to CSV, including comment text and related issue fields.
CSV export is useful for:
audits
investigations
reporting
offline analysis
follow-up processing
Export filtered comment data to CSV
JQL is not required for most comment search scenarios in the app — but it is still supported if you prefer to use it.
If you want to use JQL:
create a Jira saved filter using JQL
load issues in the app by filter
After loading that filter result set, you can still apply the app’s structured filters and table sorting on top of it.
This means you can combine:
JQL scope selection
plus
additional filtering, sorting, and visualization inside the app.
Use JQL when you want — not because you are forced to.
Try Advanced Comments Search for Jira free for 30 days.
Petru Simion _Simitech Ltd__
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