Headcount trajectory modelling
See how the shape of the workforce changes across a planning horizon under stated assumptions.
— Organisation & Workforce
Workforce scenario model
Models how a workforce is distributed over time under stated assumptions, computing the movement across a planning horizon.
- Organisation & Workforce
- Deterministic scoring
- Traceable reasoning
- Runs anywhere
2–3 days → ~5 minutes
For one document, brief or record at a time
No coding required
- Input
- Your workforce baseline and context
- Output
- A computed workforce distribution over time
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 days per run
— USE CASES
What people use Workforce scenario model for
Assumption testing
Change an assumption and re-run to see what actually moves.
Plan documentation
Produce a written model with the formula and assumptions recorded.
What it works from
- Your workforce baseline and context
- The assumptions and time horizon
- Any target distribution
What you get back
- A computed workforce distribution over time
- The formulas and assumptions behind it
- A written model report
— HOW IT BEHAVES
How Workforce scenario model 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.
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.
Composed as work product
Findings on the organisation in scope are written up as a document that reads like professional output, with each claim tied back to a role.
Why this is expensive by hand
Every organisation & workforce team needs workforce scenario model — and almost none of them do it the same way twice. In practice it shows up as headcount trajectory modelling: see how the shape of the workforce changes across a planning horizon under stated assumptions. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 2–3 days of senior time whenever it comes round.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is a computed workforce distribution over time, with the formulas and assumptions behind it. 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. In effect, 2–3 days of senior time compresses into ~5 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 scenario model 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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