Organisation & Workforce

Employee engagement & culture diagnostic

Sentiment Analysis reads every comment against eight fixed themes — Leadership, Manager, Workload, Recognition, Career growth, Pay and benefits, Culture, Wellbeing — scoring each theme only where it is actually mentioned, so a comment that praises the team but slates the workload is recorded as both.

  • Organisation & Workforce
  • Traceable reasoning
  • Runs anywhere
Preview methodology

2–3 weeks ~40 minutes

For a full population, not a sample

No coding required

Input
Org data, role documentation or headcount exports
Output
A role-level view of the organisation in scope with the reasoning attached
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 weeks per run

— USE CASES

What people use Employee engagement & culture diagnostic for

Structural decisions with evidence

Show the role-level basis for a design or headcount decision instead of defending a judgement call.

One standard across the organisation

Apply the same criteria to every part of the organisation in scope, so functions are genuinely comparable.

Re-run after each change

Re-run against updated org data each cycle and see what actually moved.

What it works from

  • Org data, role documentation or headcount exports
  • Your own design principles or planning assumptions

What you get back

  • A role-level view of the organisation in scope with the reasoning attached
  • A roll-up for leadership at the level you report at

— HOW IT BEHAVES

How Employee engagement & culture diagnostic 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 organisation in scope

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

The pattern charted

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

Composed as work product

Findings on the organisation in scope are written up as a document that reads like professional output, with each claim tied back to a role.

Roll-up alongside role-level detail

Detail rows are summarised into the grouped view of the organisation in scope without losing the underlying roles.

Why this is expensive by hand

Work on the organisation in scope normally means pulling org data, role documentation and headcount exports together by hand, then applying a standard that only exists in the head of whoever is doing it. In practice it shows up as structural decisions with evidence: show the role-level basis for a design or headcount decision instead of defending a judgement call. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 2–3 weeks of senior time whenever it comes round.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; a role-level view of the organisation in scope with the reasoning attached comes out, alongside a roll-up for leadership at the level you report at. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. Net effect: 2–3 weeks down to ~40 minutes, no drift between runs, and every conclusion traceable back to the evidence behind 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

Employee engagement & culture diagnostic 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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