Cost and structure reviews
Quantify layers, spans and manager-to-IC ratios before proposing a structural change.
— Organisation & Workforce
Spans and layers
Computes spans, layers and manager ratios deterministically from an org map, buckets outliers, and reports where structural efficiency is genuinely available.
- Organisation & Workforce
- Deterministic scoring
- Traceable reasoning
- Runs anywhere
2–3 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Org map, headcount or structure export
- Output
- Computed spans, layers and ratios with outliers bucketed
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 weeks per run
— USE CASES
What people use Spans and layers for
Finding the outliers
Identify the sub-teams with single-report managers or unmanageable spans, by name.
Benchmarked structure cases
Support a delayering case with computed figures and external reference points.
What it works from
- Org map, headcount or structure export
- Your span and layer targets
- Any scoping (function, entity, geography)
What you get back
- Computed spans, layers and ratios with outliers bucketed
- Named structural opportunities
- A table and report ready for an exec discussion
— HOW IT BEHAVES
How Spans and layers 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.
Anchored to your actual structure
Analysis runs against your real reporting lines and roles rather than an assumed org shape.
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
Spans and layers analysis is arithmetic plus judgement, and the arithmetic is usually the part that gets fudged. In practice it shows up as cost and structure reviews: quantify layers, spans and manager-to-IC ratios before proposing a structural change. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 2–3 weeks of senior time whenever it comes round.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces computed spans, layers and ratios with outliers bucketed plus named structural opportunities. 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. Net effect: 2–3 weeks down to ~40 minutes, no drift between runs, and every conclusion traceable back to the evidence behind 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
Spans and layers 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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