A capability picture that stays current
Refresh what skills the workforce actually holds on a regular cycle instead of relying on a capability audit done once and quietly ageing.
— Organisation & Workforce
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.
2–3 days → ~25 minutes
For a full population, not a sample
No coding required
— USE CASES
Refresh what skills the workforce actually holds on a regular cycle instead of relying on a capability audit done once and quietly ageing.
See where skills are concentrated, underused or thin across departments, so resourcing and hiring decisions rest on evidence rather than impression.
Because each cycle is recorded on the same basis, leadership can see what genuinely moved month over month instead of re-arguing the baseline.
Leadership gets a short, consistent summary each cycle without a team assembling it by hand every time.
— 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 skill is skipped however long the table is.
The run pauses for a person to confirm the skills that matter before the deliverable is composed.
Movement across the role or function in scope is visualised from the computed data, so the trend is legible at a glance.
Findings on the role or function in scope are written up as a document that reads like professional output, with each claim tied back to a skill.
Derived columns are added row by row, keeping your source data and the judgement about each skill side by side.
Most organisations know their capability picture is out of date, but refreshing it means another survey project: chasing responses, tidying free-text answers into something comparable, then rebuilding the same charts from scratch. A capability picture that stays current is the typical trigger — refresh what skills the workforce actually holds on a regular cycle instead of relying on a capability audit done once and quietly ageing. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 days of manual work.
Here the same job runs as a Skill. Your material goes in; a structured skills table for the current cycle, comparable with previous ones comes out, alongside a utilisation view by department, with the trend across cycles. 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. In effect, 2–3 days of senior time compresses into ~25 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Skills Utilisation Pulse 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.
Talent Flight Risk Radar
Judgements use only what the row says and no personal identifiers beyond the name and department leave the table.
Bench & Pipeline Match
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.
Workforce metrics review
Reviews a workforce metrics pack and states what the measures actually imply, rather than restating the numbers.