A research pack for leaders deciding how to staff a workforce segment against future demand. It turns a capacity business case into a set of traceable assumptions, separates what has been observed from what is hoped, and shows how to stage commitments while the open questions are answered.
Contents
The pack has 13 sections. It covers a driver-based method for capacity gap, utilization and loaded labor cost, with formulas and scoring anchors, and an evidence hierarchy for grading inputs. It sets out a facilitated assumption challenge, an option set ranging from hiring to automation, and a staging rule for uncertain cases. It includes approval gates, risks and KPIs in tables, and a fully synthetic example with a failure case and an alternate scenario. Six editable tools close the pack, among them an assumption register, a source log and a research question log.
- Purpose and decision
- Context and applicability
- Inputs and evidence
- Definitions and assumptions
- Method and analytical logic
- Current-state assessment
- Options and business case
- Recommended design
- Execution and activation
- Governance and risk
- Measurement and benefits
- Worked example and practice
- Working tools and references