Role design and levelling
Check an internal role definition against how the market defines and scopes the same role.
— Talent & Leadership
Role benchmark research
Researches how a role is defined externally and reshapes the findings into a structured benchmark you can hold your own definition against.
- Talent & Leadership
- Traceable reasoning
- Runs anywhere
1 day → ~10 minutes
Including the external research pass
No coding required
- Input
- The role to benchmark
- Output
- A structured external role benchmark
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1 day per run
— USE CASES
What people use Role benchmark research for
Hiring calibration
Set expectations for a hire using an external reference rather than an internal precedent.
Job architecture inputs
Feed structured external benchmarks into a framework or levelling exercise.
What it works from
- The role to benchmark
- Your internal role definition
- Market and geography scope
What you get back
- A structured external role benchmark
- Findings reshaped for direct comparison
- A reusable reference for the role family
— HOW IT BEHAVES
How Role benchmark research produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Live external research
Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.
Reshaped for use
Content is restructured into the form your deliverable or downstream system expects.
Why this is expensive by hand
In talent & leadership work, role benchmark research is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. Role design and levelling is the typical trigger — check an internal role definition against how the market defines and scopes the same role. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1 day of manual work.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is a structured external role benchmark, with findings reshaped for direct comparison. 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 day of senior time compresses into ~10 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran 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
Role benchmark research 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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