Calibrated talent decisions
Assess every leader against the same defined bar, so the outcome does not depend on who ran the review.
— Talent & Leadership
High-Potential Acceleration Plan
Reads a high-potential's CV, Hogan report, interview notes and manager assessment, identifies the acceleration themes that will compound fastest, researches stretch assignments, mentors and formal programmes, then composes a multi-modal plan weighted to experience and exposure.
- Talent & Leadership
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~25 minutes
For a typical multi-document review workflow
No coding required
- Input
- Assessment, review or performance evidence you already hold
- Output
- A calibrated view of each leader with the rationale shown
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use High-Potential Acceleration Plan for
Evidence a committee can question
Every rating traces back to the evidence behind it, so a board or committee can interrogate it.
Consistent development at scale
Produce the same depth of output for the whole population, not only the most visible names.
What it works from
- Assessment, review or performance evidence you already hold
- Your competency model, success profile or leadership standard
What you get back
- A calibrated view of each leader with the rationale shown
- A population-level read a talent committee can act on
— HOW IT BEHAVES
How High-Potential Acceleration Plan produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Whole sets of assessment, review and performance evidence at once
All of your assessment, review and performance evidence is processed as one set, so patterns across documents surface instead of being read one file at a time.
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.
Composed as work product
Findings on the leadership population are written up as a document that reads like professional output, with each claim tied back to a leader.
Why this is expensive by hand
Judgements about the leadership population are usually made from evidence spread across assessments, reviews and conversations, with the bar shifting between assessors. In practice it shows up as calibrated talent decisions: assess every leader against the same defined bar, so the outcome does not depend on who ran the review. 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
Here the same job runs as a Skill. Your material goes in; a calibrated view of each leader with the rationale shown comes out, alongside a population-level read a talent committee can act on. 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. Net effect: 1–2 weeks down to ~25 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
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
High-Potential Acceleration Plan 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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