Nine-box preparation
Produce separate, evidenced potential and readiness positions instead of one blended judgement.
— Talent & Leadership
Assesses potential and readiness separately against calibrated criteria, showing the supporting evidence behind each bucket for talent review discussions.
2–3 weeks → ~40 minutes
For a full population, not a sample
No coding required
— USE CASES
Produce separate, evidenced potential and readiness positions instead of one blended judgement.
Test whether stated readiness is supported by the evidence on file.
Distinguish people who need experience from people who need time in role.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each leader is assessed against criteria you control and weight, so the same standard applies to every leader in the leadership population.
The standard for the leadership population is calibrated from real evidence before a single leader is assessed against it.
Every leader lands in a defined band, so thresholds you set decide the outcome instead of whoever is interpreting it that day.
Skills and requirements are read out of assessment, review and performance evidence as structured data rather than inferred from job titles.
Dates and sequence are lifted out of assessment, review and performance evidence into a timeline, exposing the tenure, gaps and overlaps that prose hides.
The same analysis executes per leader across the leadership population, so coverage is complete rather than indicative.
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.
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.
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.
Builds evidence-backed employee skills profiles within HR systems, mapping documented experience to the organisation’s skills catalogue and assigning proficiency levels using consistent rules.
Assesses how clearly people explain their technical work against a consistent four-level rubric, producing a human-approved report with quoted evidence behind every score.
Reveals how organisational culture is lived through anonymous employee accounts, producing an evidence-backed diagnostic of shared themes, differences between functions and gaps between values and practice.
Turns a high-potential's assessment evidence into an acceleration plan weighted to real experience and exposure, naming the stretch assignments, mentors and programmes that will compound fastest.
Builds a calibrated, reusable benchmark from source material so every later screen, shortlist or review is graded against the same bar.
Screens candidate evidence against a saved Blueprint, applying the same calibrated bar and traceable reasoning to every applicant.