Skillsize

— Organisation & Workforce

Skills Utilisation Pulse

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.

  • Organisation & Workforce
  • Human review built in
  • Traceable reasoning
  • Runs anywhere
Preview methodology

2–3 days → ~25 minutes

For a full population, not a sample

No coding required

Input
A workforce or team roster with the people to include
Output
A structured skills table for the current cycle, comparable with previous ones
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 days per run

— USE CASES

What people use Skills Utilisation Pulse for

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.

Utilisation seen by department

See where skills are concentrated, underused or thin across departments, so resourcing and hiring decisions rest on evidence rather than impression.

Trend rather than snapshot

Because each cycle is recorded on the same basis, leadership can see what genuinely moved month over month instead of re-arguing the baseline.

Reporting without the survey project

Leadership gets a short, consistent summary each cycle without a team assembling it by hand every time.

What it works from

  • A workforce or team roster with the people to include
  • The skills and capability questions you want asked each cycle
  • Your departments or groupings for reporting

What you get back

  • A structured skills table for the current cycle, comparable with previous ones
  • A utilisation view by department, with the trend across cycles
  • A short leadership summary of what changed and where the gaps sit

— HOW IT BEHAVES

How Skills Utilisation Pulse produces its result

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

Every row of the role or function in scope

Each row of your export is processed on the same basis, so no skill is skipped however long the table is.

Human sign-off before the write-up

The run pauses for a person to confirm the skills that matter before the deliverable is composed.

The pattern charted

Movement across the role or function in scope is visualised from the computed data, so the trend is legible at a glance.

Composed as work product

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.

Each skill enriched in place

Derived columns are added row by row, keeping your source data and the judgement about each skill side by side.

Why this is expensive by hand

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.

How this Skill produces it

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.

Who it's for

  • Org design and workforce planning leads
  • COOs and functional leaders reshaping teams
  • Transformation consultants sizing people impact
  • HR business partners supporting redesign

Run it in Skillsize — or export it anywhere

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.

ChatGPTClaudeCopilotAI Products (MCP)

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