Estimate capacity at a team line level

Large organizations often plan headcount or overall delivery capacity at a higher, aggregated “team line” level rather than at the level of individual development teams. This is especially true for multi-month or multi-year initiatives where it is not yet known which specific team within a broader team line will execute the work. Today, capacity planning only supports estimates at the individual team level — which creates a gap for organizations that need to plan, estimate, and forecast at the team-line level.

Without the ability to estimate and plan capacity at a team-line level, organizations cannot realistically forecast staffing needs for large, complex initiatives using the Aha! Develop team lines. This forces them into having to plan at an overly granular team-level long before they have that level of certainty, or using a workaround of using "Capacity teams" that are unrelated to the Team Lines in Aha! Develop. It also makes it difficult to reconcile planned headcount at the team-line level with detailed estimates from underlying teams. This disconnect leads to manual work and reduced confidence in capacity planning.

Introduce support for estimating and planning capacity at a team-line level. A team line should be able to define its capacity based on the combined capacity of its linked teams, with the option to override that capacity manually when needed. Users should be able to schedule future capacity changes for team lines and maintain a clear reconciliation between team-line capacity (e.g., planned headcount) and detailed team-level capacity.

As a user, I want to be able to:

• Plan required headcount or delivery capacity at the team-line level directly on an initiative (or other work record).

• Inherit and roll up detailed team-level estimates into a parent team line when the parent is set to derive estimates from its downstream teams.

This would allow teams to have a tight integration between Aha! Roadmaps planning and Aha! Develop delivery planning, starting with broad team-line capacity for major initiatives, and reconciling or refining this as more detailed team-level data becomes available.