Some sprints get overloaded while others sit half-empty. Auto-Level redistributes work across sprints in one click — using the strategy you choose.
What you'll see in this demo
Overloaded sprints — see which sprints have too much work and which have spare capacity
One-click balancing — Auto-Level analyzes the in-scope sprints and redistributes issues automatically
Strategy options — choose Priority (highest first), Size (largest first), Due Date (earliest first), or Balanced. Balanced is the smart default — it spreads work per assignee rather than packing one person
Horizon picker — limit Auto-Level to the next 1, 2, or 3 sprints (or all). Anything beyond the horizon is left untouched, so you can rebalance just this sprint without churning the whole backlog
See exactly why each move happened — every moved issue carries a tooltip explaining the binding constraint (capacity, dependency, due date, lock, or horizon), and a summary panel above the board breaks down deviations by reason
Undo / Accept — preview the result before committing. Undo reverts all changes instantly
Per-user capacity — respects individual team member capacity limits as a hard filter
Optional AI Review — one click runs an AI pass that references the deviation breakdown and flags the top concerns specific to your plan