Skillsize

— Talent & Leadership

Potential and readiness

Assesses potential and readiness separately against calibrated criteria, showing the supporting evidence behind each bucket for talent review discussions.

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

2–3 weeks → ~40 minutes

For a full population, not a sample

No coding required

Input
Talent, performance and assessment documents
Output
Separate potential and readiness buckets per person
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 weeks per run

— USE CASES

What people use Potential and readiness for

Nine-box preparation

Produce separate, evidenced potential and readiness positions instead of one blended judgement.

Challenging optimistic ratings

Test whether stated readiness is supported by the evidence on file.

Development sequencing

Distinguish people who need experience from people who need time in role.

What it works from

  • Talent, performance and assessment documents
  • Team evidence and career history
  • Your potential and readiness criteria

What you get back

  • Separate potential and readiness buckets per person
  • Career-timeline evidence supporting each call
  • A table ready for a talent review discussion

— HOW IT BEHAVES

How Potential and readiness 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

Assessment happens against criteria you control and weight, so the same standard applies on every run.

Calibrated bar

The standard is calibrated from real evidence before anything is assessed against it.

Banded results

Results are placed into defined bands, so thresholds decide the outcome instead of individual interpretation.

Chronology made explicit

Dates and sequence are lifted out into a timeline, exposing tenure, gaps and overlaps that prose hides.

Applied to every item

The same analysis is executed per item across the whole population, not on a sample.

Branching on the evidence

The path taken depends on what the analysis found, so thin cases and strong cases are handled differently by design.

Why this is expensive by hand

Potential and readiness get conflated in most talent reviews, which is how someone high-potential ends up in a role they are not ready for. Nine-box preparation is the typical trigger — produce separate, evidenced potential and readiness positions instead of one blended judgement. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 2–3 weeks of experienced attention.

How this Skill produces it

As a Skill, the work is already sequenced. You bring the evidence, and the run produces separate potential and readiness buckets per person plus career-timeline evidence supporting each call. 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. The practical effect: 2–3 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

  • 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

Potential and readiness 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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