Title:
Improve Automatic Story Point Distribution Across Sprints in Advanced Roadmaps
Description:
When planning capacity in Advanced Roadmaps, I assign story points to epics and set start and due dates. Currently, the automatic distribution of story points across sprints within this period tends to front-load the points into the earliest sprints, even if those sprints are already at or over capacity. This results in overloaded early sprints and underutilized later sprints, making the plan less realistic and requiring manual adjustments.
Suggested Improvement:
Enhance the auto-scheduling algorithm so that story points are distributed more evenly across all sprints within the epic’s date range, taking into account each sprint’s remaining capacity. Ideally, the system should fill sprints up to their capacity before allocating work to the next sprint, ensuring a balanced workload and more accurate capacity planning.
Use Case:
This improvement would help teams plan more effectively, avoid overloading early sprints, and reduce the need for manual redistribution of work. It would also make the capacity planning feature more intuitive and valuable for teams managing multiple sprints and large epics.
Benefits:
More realistic sprint plans
Better utilization of team capacity
Reduced manual adjustments
Improved planning accuracy
