Request for Guidance on Using Jira for Program Increment (PI) Planning

[Raj Purohit]

Dear all,

Need your help or idea

We are currently exploring how to effectively leverage Jira for Program Increment (PI) Planning—specifically to manage planning across six iterations in alignment with our delivery goals. To better support our process, we’d like to understand the best practices and Jira features that can help us:

• Allocate available capacity for each iteration (Sprint)

• Assign effort estimates (story points or hours) to individual Jira items

• Track remaining/balance capacity after assigning items, to ensure optimal load distribution

• Visualize and manage overloaded or underutilized iterations during planning

We would greatly appreciate a walkthrough or reference materials that demonstrate how to use Jira effectively for this purpose, including any configuration tips e.g., dashboards

Thank you for your support

Best regards,

Raj

[Joshua Brock _ Seibert Group_ GmbH]

Hi @Raj Purohit 

Great question — this is exactly the use case Agile Hive was built for.

The core challenge with native Jira here is that it has no concept of a Program Increment or an Agile Release Train. You can create sprints and epics, but the PI Planning board — where you see all teams' iterations side-by-side, allocate capacity per sprint, visualize load vs. available capacity, and track dependencies in real time — simply doesn't exist without an add-on. That's why existing answers point you toward manual workarounds or separate tools.

What Agile Hive does differently:

Agile Hive embeds a full SAFe operating model directly into Jira — no separate system of record, no data sync. For your PI Planning scenario specifically:

• PI Planning board shows all teams' 6 iterations in a single view, with capacity per sprint calculated from team member availability.
• Load visualization displays story-point (or time-based) load vs. remaining capacity per team per iteration — you see over/under-allocation instantly.
• Effort tracking runs natively in Jira: stories stay in Jira issues, so velocity and burndown work as normal.
• Dependency management lets you draw inter-team dependencies on the PI board and track risk flags (ROAM: Resolved / Owned / Accepted / Mitigated).

The full hierarchy (Portfolio → Solution → ART → Team) is enforced by the data model, so portfolio epics roll up through features and stories without custom field hacks.

For your 6-iteration PI with capacity allocation as the primary need, I'd point you to the PI Planning board in Agile Hive — it handles exactly the scenario you described out of the box.

You can explore it on the Atlassian Marketplace (free trial available) or our website: https://www.agile-hive.com

And as always, in full disclosure, I work at Seibert Group, the team behind Agile Hive.

Hope this helps!

Joshua
Content Writer & US Representative
Agile Hive and Aura Apps (products of Seibert Group GmbH)

[Michael Pötz]

Hi @Raj Purohit ,

I'd like t recommend you our app Agile Hive.

Your use case sounds like you would like to implement SAFe or just a scaled agile approach in your organization and that's what Agile Hive aims at. 

Best regards

Michael

[Danut M _StonikByte_]

Hi @Raj Purohit,

I'm afraid Jira cannot fully fulfill these requests with its native tools. You will most likely need to search for plugins on Atlassian Marketplace to be effective.

In case you consider the option of using  a plugin, for tracking perspective you could take a look over our Great Gadgets app. More details in this article:  here: https://community.atlassian.com/forums/App-Central-articles/How-to-track-scaled-agile-SAFe-projects-in-Jira-with-Great/ba-p/1929694

Danut.