Client shortlist packs
Deliver a ranked shortlist with a written brief per finalist in one run.
— Talent & Leadership
Ranks a candidate pool against a role, takes the top finalists, and produces one tight brief per finalist in a composed pack.
1–2 days → ~15 minutes
For one complete, review-ready pass
No coding required
— USE CASES
Deliver a ranked shortlist with a written brief per finalist in one run.
Give the panel five focused briefs rather than five CVs.
Standardise how every shortlist is presented across the team.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Findings are written up as a document that reads like professional output rather than raw model text.
Items are compared on the same dimensions, which makes differences meaningful rather than impressionistic.
Facts, fields and entities are lifted out of unstructured material and held in a consistent shape.
The run works from documents and data you supply, so conclusions are anchored to your evidence rather than to general model knowledge.
In talent & leadership work, shortlist + per-candidate briefs is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. Client shortlist packs is the typical trigger — deliver a ranked shortlist with a written brief per finalist in one run. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 days of manual work.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces a ranked shortlist with evidence-based ordering plus one tight brief per finalist. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. In effect, 1–2 days of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Shortlist + per-candidate briefs 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.
Build a competency framework
Groups and merges skills from role profiles, standards and existing drafts into a single structured, consistently worded competency framework.
Role benchmark research
Researches how a role is defined externally and reshapes the findings into a structured benchmark you can hold your own definition against.
Potential and readiness
Assesses potential and readiness separately against calibrated criteria, showing the supporting evidence behind each bucket for talent review discussions.