Cost reduction programmes
Compare levers — span change, location, contractor mix, attrition management — on computed impact.
— Organisation & Workforce
Workforce cost optimisation
Computes the effect of workforce cost levers across the org map, bucketing options by impact and reporting trade-offs alongside the savings.
- Organisation & Workforce
- Deterministic scoring
- Traceable reasoning
- Runs anywhere
2–3 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Workforce cost and headcount data
- Output
- Computed impact per cost lever, bucketed by size
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 weeks per run
— USE CASES
What people use Workforce cost optimisation for
Budget challenge
Test a cost target against what the levers can realistically deliver.
Trade-off transparency
Show the capability consequence of each saving, not just the number.
What it works from
- Workforce cost and headcount data
- Org map and team context
- Your target and constraints
What you get back
- Computed impact per cost lever, bucketed by size
- Trade-offs and capability risks named
- A comparison table for a decision meeting
— HOW IT BEHAVES
How Workforce cost optimisation produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Scored against your criteria
Each role is assessed against criteria you control and weight, so the same standard applies to every role in the organisation in scope.
Roles banded, not argued
Every role lands in a defined band, so thresholds you set decide the outcome instead of whoever is interpreting it that day.
Calculated per role, not estimated
The figures behind each role are computed by formula during the run, so the arithmetic is identical every time and can be checked line by line.
Numbers lifted out of org data, role documentation and headcount exports
Figures buried in narrative org data, role documentation and headcount exports are extracted as data you can compute and compare with.
Grounded in your own context
Your strategy, standards and prior work are loaded first, so conclusions about the organisation in scope are anchored to your situation.
Anchored to your actual structure
Analysis runs against your real reporting lines and roles rather than an assumed org shape.
Why this is expensive by hand
Workforce cost optimisation is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. Cost reduction programmes is the typical trigger — compare levers — span change, location, contractor mix, attrition management — on computed impact. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 2–3 weeks of experienced attention.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces computed impact per cost lever, bucketed by size plus trade-offs and capability risks named. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. The practical effect: 2–3 weeks of manual work becomes a ~40 minutes run, held to an identical standard on the tenth engagement as on the first.
Who it's for
- Org design and workforce planning leads
- COOs and functional leaders reshaping teams
- Transformation consultants sizing people impact
- HR business partners supporting redesign
Run it in Skillsize — or export it anywhere
Workforce cost optimisation exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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