Fast shortlisting
Get from a pool to a ranked shortlist with written rationale in a single run.
— Talent & Leadership
Ranks a candidate pool on evidence, takes the top slice, and writes the rationale explaining why the shortlist fell the way it did.
1 day → ~15 minutes
For one complete, review-ready pass
No coding required
— USE CASES
Get from a pool to a ranked shortlist with written rationale in a single run.
Show the evidence behind the order so the ranking can be interrogated.
Apply the same ranking basis to every role you run.
— 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.
Every talent & leadership team needs shortlist & rank — and almost none of them do it the same way twice. In practice it shows up as fast shortlisting: get from a pool to a ranked shortlist with written rationale in a single run. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1 day of senior time whenever it comes round.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces an evidence-based ranking of the pool plus the top slice as a shortlist. 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. Net effect: 1 day down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Shortlist & rank 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.