Live delivery change control
Assess incoming requests against the signed scope in minutes so decisions are not deferred to the next steering meeting.
— Operations & Process
Change-request impact assessment
Assesses a change request against the current SOW, quantifies scope, cost, timeline and risk deltas, scores materiality, and produces the matching assessment or approval note.
- Operations & Process
- Traceable reasoning
- Runs anywhere
2–3 days → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- The change request
- Output
- Scope, cost, timeline and risk deltas made explicit
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 days per run
— USE CASES
What people use Change-request impact assessment for
Protecting margin on fixed-fee work
Quantify cost and timeline deltas before agreeing to something that quietly erodes the fee.
Consistent approval trails
Produce the same approval wording and rationale every time, ready for the client's governance process.
What it works from
- The change request
- The current SOW, plan or scope document
- Your materiality thresholds
What you get back
- Scope, cost, timeline and risk deltas made explicit
- A materiality score that decides the depth of assessment
- Approval wording or a processing note depending on the branch
— HOW IT BEHAVES
How Change-request impact assessment 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 process step is assessed against criteria you control and weight, so the same standard applies to every process step in the end-to-end process.
Branching on what the evidence shows
Thin cases and strong cases among your process steps are handled differently by design, based on what the analysis actually found.
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.
Why this is expensive by hand
Not every change request deserves a formal impact assessment, but deciding which do is where scope creep hides. In practice it shows up as live delivery change control: assess incoming requests against the signed scope in minutes so decisions are not deferred to the next steering meeting. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 2–3 days of capacity for it.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; scope, cost, timeline and risk deltas made explicit comes out, alongside a materiality score that decides the depth of assessment. 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. Net effect: 2–3 days down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
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
Change-request impact assessment 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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