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
Preview methodology

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

Live delivery change control

Assess incoming requests against the signed scope in minutes so decisions are not deferred to the next steering meeting.

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

Assessment happens against criteria you control and weight, so the same standard applies on every run.

Branching on the evidence

The path taken depends on what the analysis found, so thin cases and strong cases are handled differently by design.

Composed as work product

Findings are written up as a document that reads like professional output rather than raw model text.

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

  • 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

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)

More Operations & Process Skills

Browse the full library →