Establishing the current operating model
Provides a grounded account of how the organisation works today, supported by quoted evidence from people across teams. Gives advisory teams a shared baseline for operating model discussions.
— Operations & Process
Operating Model Mapper
Maps how an organisation actually operates using anonymous accounts from its people, producing an evidence-backed diagnostic of responsibilities, decisions, handoffs and duplicated effort.
- Operations & Process
- Human review built in
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Anonymous staff accounts from a cross-organisational sample
- Output
- A reviewed current-state operating model map
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Operating Model Mapper for
Understanding differences between teams
Highlights where teams describe different decision rights, working practices or responsibilities. Makes local variations visible rather than presenting a single account that conceals disagreement.
Examining handoffs and duplication
Maps how work moves between teams and highlights areas of duplicated effort. Grounds discussions about coordination and ownership in concrete examples.
Informing operating model redesign
Provides an evidence-backed diagnostic covering capabilities, processes, governance, structure, systems and measures. Gives redesign discussions a basis in actual working practices rather than formal structures alone.
What it works from
- Anonymous staff accounts from a cross-organisational sample
- A consistent set of questions about day-to-day operations
- Concrete examples of decisions, handoffs, system use and performance measurement
- Human review of the operating model map
What you get back
- A reviewed current-state operating model map
- A diagnostic report covering capabilities and work, processes and handoffs, governance and decision rights, structure and roles, systems and data, and measures
- Supporting quotations without individual attribution
- Highlighted differences between teams and organisational areas, including duplicated effort
— HOW IT BEHAVES
How Operating Model Mapper produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Human sign-off before the write-up
The run pauses for a person to confirm the process steps that matter before the deliverable is composed.
Composed as work product
Findings on the end-to-end process are written up as a document that reads like professional output, with each claim tied back to a process step.
Criteria-based analysis of every process step
Each process step is assessed against explicit criteria you control, so the same standard is applied across the end-to-end process on every run.
Grounded in your own process documentation and run data
The run works from process documentation and run data you supply, so conclusions about the end-to-end process are anchored to your evidence rather than general model knowledge.
Why this is expensive by hand
Formal structures rarely explain how work actually gets done. Establishing the current operating model is the typical trigger — provides a grounded account of how the organisation works today, supported by quoted evidence from people across teams. Gives advisory teams a shared baseline for operating model discussions. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is a reviewed current-state operating model map, with a diagnostic report covering capabilities and work, processes and handoffs, governance and decision rights, structure and roles, systems and data, and measures. 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. The practical effect: 1–2 weeks of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
Who it's for
- Operations and continuous improvement leads
- Transformation and automation teams
- Service delivery and shared services managers
- Consultants running process diagnostics
Run it in Skillsize — or export it anywhere
Operating Model Mapper 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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