Pivot Tables Sort A to Z or Z to A for Calculated Columns in Cells

Pivot tables are powerful for summarizing and identifying trends, but without the ability to sort on calculated numeric fields, the analysis remains incomplete. Today, I need to export the data into another tool just to rank features by total story points or assess which epics have the highest scope. That extra step slows down analysis and breaks momentum. It also limits the ability to quickly spot outliers, such as features with unusually high requirement counts or estimates that suggest decomposition issues.

Numeric sorting within pivot tables would make trend analysis and scoping reviews far more efficient. I could immediately rank features by total effort, identify epics with the highest or lowest story point totals, and evaluate min, max, or average requirement counts to assess sizing consistency. This supports better scoping decisions, encourages healthier decomposition practices, and reduces unnecessary export-and-manipulate workflows. Ultimately, it strengthens data-driven planning and makes the tool more actionable for iterative delivery management.