A research and assumptions pack for testing which service changes genuinely improve unit economics before a cost-to-serve business case goes to approval. Every figure is traced to evidence or labeled as a hypothesis.
What this pack covers
A repeatable time-driven costing method for cost per customer and service margin, with written-out formulas. Netting rules for channel shift and rules for converting capacity into cash. Scoring anchors for evidence strength and decision impact. Approval gates, a risk register and KPI definitions with a named measurement owner. A worked synthetic case with a failure case, an alternate scenario and an assumption-challenge exercise. Editable registers for assumptions, sources and research questions, plus a costing worksheet and a capacity-to-cash checklist.
- 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