Calibrated talent decisions
Assess every leader against the same defined bar, so the outcome does not depend on who ran the review.
— Talent & Leadership
Succession Readiness Coach
Assesses a leader's CV, Hogan profile and performance or interview notes against a target-level role spec, identifies the specific gaps between current state and the next level, and composes a readiness plan with a realistic timeline and the evidence needed at each decision gate.
- 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 Succession Readiness Coach 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 Succession Readiness Coach 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.
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.
Criteria-based analysis of every leader
Each leader is assessed against explicit criteria you control, so the same standard is applied across the leadership population on every run.
Like-for-like comparison of leaders
Leaders are compared on the same dimensions, which makes differences meaningful rather than impressionistic.
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. 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 calibrated view of each leader with the rationale shown comes out, alongside a population-level read a talent committee can act on. 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: 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
Succession Readiness Coach 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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