Location strategy
Compare locations on computed total cost and capability availability, not just salary rates.
— Organisation & Workforce
Workforce cost by location
Compares workforce cost across locations, computing total cost, capability availability and structural implications of each option.
- 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 by location
- Output
- Computed cost comparison across locations
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 weeks per run
— USE CASES
What people use Workforce cost by location for
Nearshore and offshore cases
Test a location move against what actually moves and what has to stay.
Footprint reviews
Assess an existing footprint against current cost and capability conditions.
What it works from
- Workforce cost and headcount by location
- Org map and role data
- Candidate locations and constraints
What you get back
- Computed cost comparison across locations
- Capability and structural implications per option
- A comparison table for a decision
— HOW IT BEHAVES
How Workforce cost by location produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
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.
Org data, role documentation and headcount exports pulled into one schema
Every role is captured in the same field structure, so records drawn from different documents and sources stay comparable.
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.
Live research on the organisation in scope
Current external sources on the organisation in scope are researched during the run rather than recalled from training data, and every source travels with the output.
Applied to every role, not a sample
The same analysis executes per role across the organisation in scope, so coverage is complete rather than indicative.
Why this is expensive by hand
Workforce cost by location is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. Location strategy is the typical trigger — compare locations on computed total cost and capability availability, not just salary rates. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces computed cost comparison across locations plus capability and structural implications per option. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. In effect, 2–3 weeks of senior time compresses into ~40 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
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 by location 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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