Transaction management diligence
Assess a leadership team as part of a deal, with timelines, coverage and risk in a single pack.
— Talent & Leadership
Leadership due diligence pack
Assembles a full diligence pack — career timeline, scored coverage against role requirements, external research and cross-candidate comparison — in one document.
- Talent & Leadership
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~40 minutes
For a full population, not a sample
No coding required
- Input
- Candidate documents and CVs
- Output
- An evidence-led diligence pack with career timelines
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use Leadership due diligence pack for
Comparative executive shortlists
Run several leaders through identical scoring and comparison before a final decision.
Board reporting
Deliver an evidence-led pack that stands up to challenge from a remuneration or nominations committee.
What it works from
- Candidate documents and CVs
- The role requirements and diligence questions
- Scoring criteria and any external research scope
What you get back
- An evidence-led diligence pack with career timelines
- Scored coverage against role requirements
- Comparison tables across candidates
— HOW IT BEHAVES
How Leadership due diligence pack 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 leader is assessed against criteria you control and weight, so the same standard applies to every leader in the leadership population.
Coverage across the leadership population, both directions
A coverage pass shows which leaders are supported by evidence and which are not — including requirements with nothing behind them and material that supports nothing.
Leaders banded, not argued
Every leader lands in a defined band, so thresholds you set decide the outcome instead of whoever is interpreting it that day.
Chronology made explicit
Dates and sequence are lifted out of assessment, review and performance evidence into a timeline, exposing the tenure, gaps and overlaps that prose hides.
Grounded in your own context
Your strategy, standards and prior work are loaded first, so conclusions about the leadership population are anchored to your situation.
Live research on the leadership population
Current external sources on the leadership population are researched during the run rather than recalled from training data, and every source travels with the output.
Why this is expensive by hand
In talent & leadership work, leadership due diligence pack 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 transaction management diligence: assess a leadership team as part of a deal, with timelines, coverage and risk in a single pack. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1–2 weeks of capacity for it.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is an evidence-led diligence pack with career timelines, with scored coverage against role requirements. 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. The practical effect: 1–2 weeks of manual work becomes a ~40 minutes run, held to an identical standard on the tenth engagement as on the first.
Who it's for
- CHROs and talent management leads
- Succession and leadership development teams
- Executive assessors and coaches
- Consultants running talent reviews
Run it in Skillsize — or export it anywhere
Leadership due diligence pack 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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