Team diagnostics
Assess how a team works together against evidence rather than workshop sentiment.
— Organisation & Workforce
Scores a team's effectiveness against structured evidence on defined dimensions, producing a comparable baseline for future re-measurement.
3–4 days → ~10 minutes
For one complete, review-ready pass
No coding required
— USE CASES
Assess how a team works together against evidence rather than workshop sentiment.
Score the same dimensions after an intervention to show whether anything changed.
Give a leader a structured read on their team's effectiveness with the evidence attached.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each role is assessed against criteria you control and weight, so the same standard applies to every role in the organisation in scope.
The run works from org data, role documentation and headcount exports you supply, so conclusions about the organisation in scope are anchored to your evidence rather than general model knowledge.
Team effectiveness reviews often rest on how the team feels on the day of the workshop. Team diagnostics is the typical trigger — assess how a team works together against evidence rather than workshop sentiment. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 3–4 days of manual work.
Skillsize turns that work into a Skill: you supply the material, and what comes back is scored effectiveness across your dimensions, with evidence-linked findings per dimension. 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, 3–4 days of senior time compresses into ~10 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Team effectiveness review 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.
Redesigns workflows and roles around the practical use of AI, producing a board-ready plan with task-level recommendations, costed capacity gains and clear workforce implications.
Keeps a standing read on the risk universe in scope, working through risk registers, controls and policy documents on a regular cycle to show where each risk stands, what has moved since the last run and which items now need an owner's attention.
Matches available consultant capacity against the work coming down the pipeline each week, showing where people are about to sit idle, where demand will outstrip the skills you have and which pairings genuinely fit.
Runs a recurring skills survey across the workforce on a set cycle, building a living view of skills and utilisation by department that leadership can track month over month.
Ranks candidate locations against weighted workforce and business criteria, tests how cost assumptions affect the result, and produces a board-ready recommendation with a traceable evidence base.
Reviews a workforce metrics pack and states what the measures actually imply, rather than restating the numbers.