Executive appointment decisions
Assess a leader against the calibrated bar for the role rather than against the last person interviewed.
— Talent & Leadership
Grades an individual leader's evidence against a reusable calibrated Blueprint, producing comparable verdicts across assessors and time.
half a day → ~10 minutes
For one complete, review-ready pass
No coding required
— USE CASES
Assess a leader against the calibrated bar for the role rather than against the last person interviewed.
Ensure two assessors reach comparable conclusions because they use the same Blueprint.
Compare leaders assessed across a hiring cycle on identical dimensions.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Material is assessed against explicit criteria you control, so the same standard is applied on every run.
A structured standard is produced that can be reused across future runs.
The run works from documents and data you supply, so conclusions are anchored to your evidence rather than to general model knowledge.
One leader, one calibrated Blueprint, one consistent verdict. In practice it shows up as executive appointment decisions: assess a leader against the calibrated bar for the role rather than against the last person interviewed. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only half a day of capacity for it.
Here the same job runs as a Skill. Your material goes in; a dimension-by-dimension match against the Blueprint comes out, alongside named strengths and gaps with evidence. 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. The practical effect: half a day of manual work becomes a ~10 minutes run, held to an identical standard on the tenth engagement as on the first.
Leader vs Blueprint 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.