Talent & Leadership

Transition / First-90-Days Coach

Compares a leader's CV and Hogan profile against the brief for their new role and the company's strategy, works out what is genuinely different about this job, then composes a first-90-days plan covering capability gaps, relationship priorities and early wins.

  • Talent & Leadership
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks ~25 minutes

For one complete, review-ready pass

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 Transition / First-90-Days Coach for

Calibrated talent decisions

Assess every leader against the same defined bar, so the outcome does not depend on who ran the review.

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 Transition / First-90-Days Coach produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

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.

Structured extraction from assessment, review and performance evidence

Facts and fields are lifted out of assessment, review and performance evidence and held in a consistent shape, leader by leader.

Grounded in your own assessment, review and performance evidence

The run works from assessment, review and performance evidence you supply, so conclusions about the leadership population are anchored to your evidence rather than general model knowledge.

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

As a Skill, the work is already sequenced. You bring the evidence, and the run produces a calibrated view of each leader with the rationale shown plus 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. In effect, 1–2 weeks of senior time compresses into ~25 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran 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

Transition / First-90-Days 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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