— Organisation & Workforce

Op Stage

Assesses operating model readiness across stages, ownership and handovers, producing a stage map, governance gap assessment and clear stage-gate definitions ready to adopt.

  • Organisation & Workforce
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks → ~15 minutes

For a typical multi-document review workflow

No coding required

Input
Process maps
Output
Stage map covering owners, inputs, outputs and handovers
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Op Stage for

Operating model readiness review

Assesses readiness for each stage against documented responsibilities, inputs, outputs and handovers. Provides a clear view of where the model is sufficiently defined and where gaps remain.

Cross-team handover clarity

Identifies handovers without a named owner, agreed criteria or a supporting record. Makes accountability gaps explicit so teams can agree what a reliable handover requires.

Stage-gate governance design

Defines entry criteria, exit criteria, required evidence and the decision owner for each stage. Gives teams a practical set of gate definitions to adopt within their operating model.

Programme delivery assurance

Examines operating model and programme documentation for governance gaps and unsupported readiness assumptions. Provides a focused basis for decisions about readiness to operate.

What it works from

  • Process maps
  • Standard operating procedures
  • Operating model documentation
  • Programme documentation

What you get back

  • Stage map covering owners, inputs, outputs and handovers
  • Readiness assessment for each operating model stage
  • Handover gaps covering ownership, criteria and records
  • Governance gap assessment producing clear gaps in controls and accountability

— HOW IT BEHAVES

How Op Stage produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Whole sets of org data and role documentation at once

All of your org data and role documentation is processed as one set, so patterns across documents surface instead of being read one file at a time.

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.

Delivered as a working table

The roles land as a clean table you can sort, filter or drop straight into the deliverable.

Why this is expensive by hand

Operating models often describe activities without making accountability, handover requirements or approval decisions clear. Operating model readiness review is the typical trigger — assesses readiness for each stage against documented responsibilities, inputs, outputs and handovers. Provides a clear view of where the model is sufficiently defined and where gaps remain. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 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 stage map covering owners, inputs, outputs and handovers plus readiness assessment for each operating model stage. 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. In effect, 1–2 weeks of senior time compresses into ~15 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

Op Stage 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)