Comparing restructure options
Model two or three structures and see the coverage, cost and capability implications side by side.
— Organisation & Workforce
Restructure scenario
Models restructure options, computing structural and cost implications of each and scoring them against the current state on your chosen criteria.
- Organisation & Workforce
- Traceable reasoning
- Runs anywhere
3–4 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Current org map, headcount and cost data
- Output
- Option-by-option computed impact
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~3–4 weeks per run
— USE CASES
What people use Restructure scenario for
Consultation preparation
Produce the evidence and rationale a formal consultation process will demand.
Impact assessment
Understand which capabilities and roles each option puts at risk before committing.
What it works from
- Current org map, headcount and cost data
- The restructure options or design principles
- Decision criteria and constraints
What you get back
- Option-by-option computed impact
- Coverage and capability diffs against the current state
- Scored options with the criteria recorded
— HOW IT BEHAVES
How Restructure scenario 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
Assessment happens against criteria you control and weight, so the same standard applies on every run.
Coverage, both directions
A coverage pass shows what is supported and what is not — including requirements with nothing behind them and material that supports nothing.
Difference, not description
Two states are compared directly, so what actually changed is separated from what only reads differently.
Banded results
Results are placed into defined bands, so thresholds decide the outcome instead of individual interpretation.
Anchored to your org map
Analysis runs against your actual structure and reporting lines rather than an assumed org shape.
Live external research
Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.
Why this is expensive by hand
In organisation & workforce work, restructure scenario is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. In practice it shows up as comparing restructure options: model two or three structures and see the coverage, cost and capability implications side by side. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 3–4 weeks of capacity for it.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is option-by-option computed impact, with coverage and capability diffs against the current state. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. The practical effect: 3–4 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
- Independent consultants codifying their own methodology
- Strategy and transformation teams standardising delivery
- Internal advisory functions under pressure to produce faster
- Operators who need defensible output, not a one-off chat answer
Run it in Skillsize — or export it anywhere
Restructure scenario 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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