Hi Atlassian team,
We actively use Jira Plans (Advanced Roadmaps) to manage cross-squad delivery and portfolio planning.
We’ve run into several limitations with the current export functionality that are impacting our ability to use Plans effectively.
Current limitations
From the Export options in Plans, we understand that:
- CSV export only includes currently visible data based on filters / view settings
- PNG export is limited to a static image of the timeline
- There is no structured export that preserves:
- Hierarchy (Initiative → Epic → Story)
- Dependencies
- Timeline relationships
- Scenario planning views
This creates challenges for:
- Executive reporting
- Sharing structured roadmap data across tools
- Feeding roadmap data into analytics or AI workflows
- Manual clean up work to put into AI.
Requested enhancements
Improved timeline export experience
- Ability to export
- Customisable export views (grouping, swimlanes, filters preserved)
AI / integration capability (key opportunity)
We are increasingly exploring AI tools (e.g. Claude, Rovo, Copilot-style integrations), and see strong potential if Plans data can be accessed more easily.
Specifically:
- API access or connector support for:
- Atlassian Rovo
- External AI tools (e.g. Claude, OpenAI)
- Ability to:
- Query roadmap data conversationally
- Generate summaries, risks, and delivery insights
- Identify dependency bottlenecks across squads
- Export or webhook capability to feed Plans data into:
- BI tools
- AI copilots for delivery planning
Why this matters
For our organisation, Plans is the source of truth for planning before PI Planning, but:
- Export limitations prevent us from using it effectively
- We have to duplicate effort in spreadsheets then and Miro
- We can’t leverage emerging AI capabilities on roadmap data
Improving export and integration capabilities would significantly increase:
- Adoption of Advanced Roadmaps
- Efficiency of delivery reporting
- Value of Atlassian’s AI ecosystem (including Rovo)