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
Benefits realisation review
Compares promised business-case benefits against actuals, computes the variance per benefit, and judges each as realised, partial or not realised with the recovery action needed.
- Operations & Process
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~25 minutes
For a full population, not a sample
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 Benefits realisation review 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 Benefits realisation review produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Row-level table processing
Every row of your table is processed on the same basis, however long the table is.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
Enriched row by row
Each row gains derived columns from the analysis, keeping the source data and the judgement side by side.
Roll-up alongside detail
Detail rows are summarised into the grouped view without losing the underlying lines.
Why this is expensive by hand
Every operations & process team needs benefits realisation review — and almost none of them do it the same way twice. 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
Here the same job runs as a Skill. Your material goes in; a structured, review-ready deliverable comes out, alongside a traceable record of what informed each conclusion. 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 ~25 minutes run, held to an identical standard on the tenth engagement as on the first.
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
Benefits realisation review 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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