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Monthly Weighted Impacts by Type – Per Group

What’s the change load over time for each group — and what types of change are driving it?

Monthly Weighted Impacts by Type – Per Group

What it answers:
What’s the change load over time for each group — and what types of change are driving it?
Why it helps:
  • Prevents saturation by smoothing go-live timing
  • Improves sequencing across portfolios
  • Provides foresight for planning and readiness
What’s different from native timelines?
ChangePlan shows timelines per initiative, but this view:
  • Aggregates weighted impacts month by month
  • Highlights “hot spots” in saturation
  • Lets you filter by impact type, group, or portfolio
How it looks:
A timeline table with months across the top, impact types down the side, and weighted scores in each cell. Totals by month can be color-coded to reveal peak saturation periods.
How to build it:
  1. Export Heatmap data
  1. Format Start/End Dates as Date
  1. Insert Pivot Table:
      • Rows: Impact Type
      • Columns: Start Date (then Group > Months)
      • Values: Weighting (Sum)
      • Filters: Org Level 1 Group
  1. Apply conditional formatting or plot as stacked column chart