Repeatable client analysis
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
— Operations & Process
Future-state process design
Dispositions every current process step as keep, merge, move, automate or eliminate, then writes the redesigned process with roles, systems and controls and quantifies the before-and-after case for change.
- 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
- Documents, exports or uploads you already hold
- Output
- A structured, review-ready deliverable
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Future-state process design for
Faster first drafts
Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.
Comparable results over time
Produce the same shape of output each cycle so movement is measurable rather than re-argued.
What it works from
- Documents, exports or uploads you already hold
- Your own criteria, framework or house method
What you get back
- A structured, review-ready deliverable
- A traceable record of what informed each conclusion
— HOW IT BEHAVES
How Future-state process design produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Human review gate
The run pauses for a person to confirm the facts that matter before the deliverable is composed.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
Criteria-based analysis
Material is assessed against explicit criteria you control, so the same standard is applied on every run.
Grounded in your own material
The run works from documents and data you supply, so conclusions are anchored to your evidence rather than to general model knowledge.
Why this is expensive by hand
In operations & process work, future-state process design 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 repeatable client analysis: run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks 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 structured, review-ready deliverable, with a traceable record of what informed each conclusion. 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: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
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
Future-state process design 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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