Jira is a great tool, but if you manage projects for a while, you’ll notice a common problem: the report you need just isn’t there. You end up exporting data, mixing filters, or looking for yet another plugin.
Imagine if you could simply explain the report you want in everyday language and have it created right away.
With the AI Apps Builder for Jira, your team can build secure Forge-powered apps, dashboards, and gadgets with just a prompt. You don’t need to code, just describe what you want, and the AI will create a working solution ready for Jira Cloud.
In this article, we’ll look at five of the most popular custom Jira reports people ask for in the Atlassian Community. You’ll see how to create each one with a simple prompt using a no-code app builder.
Why Building Custom Jira Reports Is Still Difficult
Jira’s built-in reports work well for standard workflows, but teams often need more detailed insights like these:
- Cross-project visibility
- Trend analysis across multiple sprints
- Workload distribution across teams
- Risk monitoring across deadlines
- Delivery speed metrics
When teams face these questions, they usually try one of the following:
- Exporting data into spreadsheets
- Building custom scripts
- Installing multiple plugins
- Asking developers to build an internal tool
This makes it harder for teams that just want fast, practical insights.
That’s where AI Apps Builder for Jira helps. You just describe the report you want, and the AI creates a secure Forge app with the right logic, interface, and data access—no coding needed.
Here are five helpful examples.
1. Sprint Health & Progress Report
Why teams ask for this report
Project managers often want a simple snapshot of sprint health that can be shared with leadership.
They typically want to see:
- Planned vs completed work
- A burndown chart
- Days remaining in the sprint
- Risks or blockers
Jira has a Sprint Report, but many teams find it too rigid for executive updates or dashboards.
Prompt example
Create a dashboard gadget that shows the sprint health and progress. Add dropdowns to filter by project and by sprint. Include a burndown chart of remaining story points vs. time, a summary of committed vs. completed issues, and the number of days left in the sprint. Indicate whether the sprint is on track or delayed with color-coded status (green for on-track, yellow for at-risk, red for behind schedule).
2. High-Risk Issues Tracker
In most teams, the biggest question during standups or reviews is simple: What is at risk right now?
Teams want to quickly see:
- overdue tasks
- upcoming deadlines
- blocked issues
- flagged impediments
Jira filters can show this data, but they don’t always create a clear risk monitoring view.
Prompt example
Generate a dashboard gadget that lists all unresolved issues in my project which are high-risk. Define high-risk as any issue that is either flagged (marked as impediment) or has a due date that is past due (overdue) or coming up within the next 7 days. For each such issue, display the issue key, summary, assignee, priority, and how many days it’s overdue (or days until due). Use visual alerts: highlight overdue issues in red and issues due soon in yellow.
The result is a custom report that acts like a risk radar for the team.
3. Team Performance (Velocity Trend) Report
Why this report matters
Many teams track sprint velocity, but they want more than just a single snapshot. They want to understand trends such as:
- Are we improving?
- Are we over-committing?
- Is scope creeping into our sprints?
Jira’s Velocity Chart works at the board level, but it doesn’t provide easy trend analysis across multiple sprints.
Prompt example
Build a dashboard gadget to analyze our team’s performance across sprints. Show a velocity trend chart for the last 3 sprints, plotting story points committed versus completed in each sprint. Calculate and display the average velocity over this period, and include a trend line or percentage change to highlight improvements or declines in velocity.
This generates a custom dashboard visualization that helps teams make better planning decisions.
4. Workload Usage Report
The problem
Leads and managers often want to understand:
- Who is overloaded?
- How work is distributed across projects
- Where time is actually spent
Jira stores worklogs, but it’s not always easy to view workload across multiple projects in one place.
With AI Apps Builder, you can generate a Workload Usage dashboard gadget that aggregates worklog data.
The custom gadget can:
- Show total hours logged per user
- Filter by project and assignee
- Allow drill-down into individual issues
Prompt example
Create a “Workload Usage” dashboard gadget that shows total hours logged per user within a selected date range. Add multi-select filters for project and assignee, and show only users who logged time in the selected period. When I click on a user, open a table with issue key, summary, and hours logged for each issue.
This creates a reusable custom dashboard for resource planning without exporting data into spreadsheets.
5. Cycle Time Tracker
Why teams need this
Delivery speed is one of the most important Agile metrics.
Teams often ask:
- How long does work actually take?
- Which issues take the longest?
- What is our average delivery time?
Jira’s Control Chart visualizes this data, but it is board-specific and mostly graphical.
Many teams want a simple project-wide table.
Prompt example
Create a “Cycle Time Tracker” dashboard gadget. Add a dropdown to select a project. For the selected project, show a summary with total issues, number of issues with cycle time, and average cycle time in days. Below, list all issues in a table with columns: key, summary, issue type, status, cycle time from “In Progress” to “Done.”
AI Apps Builder generates a custom report gadget that combines overview metrics and detailed issue data.
How AI Apps Builder for Jira Works
If you want to see how it works, here’s a simple overview:
- First, install AI Apps Builder for Jira from the Atlassian Marketplace for Jira Cloud.
- Next, open the app and begin a conversation.
- Tell the app what kind of custom app, dashboard, or report you need.
- The AI will then create a secure Forge app for you, including modules, permissions, a user interface, and backend logic.
- You can deploy the app straight into Jira.
After that, you can keep improving your solution in the no-code builder or export the code and work with it.
And if you have a Jira report you’ve always wanted but never built, it is the best time to generate it.
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