— Talent & Leadership

Shortlist & rank

Ranks a candidate pool on evidence, takes the top slice, and writes the rationale explaining why the shortlist fell the way it did.

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

1 day → ~15 minutes

For one complete, review-ready pass

No coding required

Input
The candidate pool
Output
An evidence-based ranking of the pool
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1 day per run

— USE CASES

What people use Shortlist & rank for

Fast shortlisting

Get from a pool to a ranked shortlist with written rationale in a single run.

Challengeable rankings

Show the evidence behind the order so the ranking can be interrogated.

Repeatable search process

Apply the same ranking basis to every role you run.

What it works from

  • The candidate pool
  • The role and its criteria
  • The shortlist size

What you get back

  • An evidence-based ranking of the pool
  • The top slice as a shortlist
  • Written rationale for the selection

— HOW IT BEHAVES

How Shortlist & rank produces its result

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

Capability read from the evidence

Skills and requirements are read out of CVs, applications and interview notes as structured data rather than inferred from job titles.

Composed as work product

Findings on the candidate pool are written up as a document that reads like professional output, with each claim tied back to a candidate.

Like-for-like comparison of candidates

Candidates are compared on the same dimensions, which makes differences meaningful rather than impressionistic.

Grounded in your own CVs, applications and interview notes

The run works from CVs, applications and interview notes you supply, so conclusions about the candidate pool are anchored to your evidence rather than general model knowledge.

Why this is expensive by hand

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.

How this Skill produces it

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.

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

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.

ChatGPTClaudeCopilotAI Products (MCP)