Calibrated talent decisions
Assess every leader against the same defined bar, so the outcome does not depend on who ran the review.
— Talent & Leadership
Turn a pile of 360 ratings and rater comments into the findings that matter — blind spots, hidden strengths, contested areas and an evidence-backed development plan, with rater anonymity preserved.
3–4 weeks → ~40 minutes
For a full population, not a sample
No coding required
— USE CASES
Assess every leader against the same defined bar, so the outcome does not depend on who ran the review.
Every rating traces back to the evidence behind it, so a board or committee can interrogate it.
Produce the same depth of output for the whole population, not only the most visible names.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each row of your export is processed on the same basis, so no leader is skipped however long the table is.
Movement across the leadership population is visualised from the computed data, so the trend is legible at a glance.
Findings on the leadership population are written up as a document that reads like professional output, with each claim tied back to a leader.
Detail rows are summarised into the grouped view of the leadership population without losing the underlying leaders.
Judgements about the leadership population are usually made from evidence spread across assessments, reviews and conversations, with the bar shifting between assessors. In practice it shows up as calibrated talent decisions: assess every leader against the same defined bar, so the outcome does not depend on who ran the review. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 3–4 weeks of senior time whenever it comes round.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces a calibrated view of each leader with the rationale shown plus a population-level read a talent committee can act on. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. Net effect: 3–4 weeks down to ~40 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Leadership 360 synthesis 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.
Performance review synthesis
Turn a cycle of performance reviews — ratings, objectives and manager commentary — into a calibrated, defensible picture: goal attainment, rating-versus-evidence gaps, prior-year movement, manager leniency and next-cycle priorities.
Employer brand & competitor benchmark
Your employer reviews and your competitors' side by side — which parts of the employee deal you win and lose on, in the candidates' own words, with the external signals a candidate would also find.
High-performer profile finder
Learns what separates your strongest people from the rest, ranks the factors that genuinely predict performance, and turns the result into a hiring profile and a development profile you can act on.