— Organisation & Workforce

Employee engagement & culture diagnostic

Analyses large volumes of free-text engagement survey comments to produce a theme-by-theme sentiment read by department, identify what genuinely drives the overall mood, and set out an action plan — without anyone hand-coding a single comment.

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

2–3 weeks → ~40 minutes

For a full population, not a sample

No coding required

Input
Open-text employee engagement survey comments
Output
Employee engagement and culture diagnostic report
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

Making sense of mixed feedback

Separates positive and negative views within the same comment, so praise for managers does not obscure concerns about workload. Assesses sentiment only for themes employees actually mention.

Locating departmental pressure points

Shows how sentiment varies across departments and workplace themes. Gives advisers a focused view of where concerns concentrate and where experiences differ across the organisation.

Focusing engagement action plans

Identifies themes associated with overall sentiment and uses the findings to shape an evidence-based action plan. Supports a more specific discussion of priorities than headline engagement scores alone.

Examining strongly negative feedback

Provides a focused selection of the forty most negative comments with their key phrases. Gives reviewers direct employee evidence to consider alongside aggregate findings.

What it works from

  • Open-text employee engagement survey comments
  • Respondent identifiers, department details and tenure bands
  • Optional overall engagement scores, such as eNPS or a five-point rating
  • Workplace theme definitions aligned with the organisation’s survey framework

What you get back

  • Employee engagement and culture diagnostic report
  • Theme-level sentiment findings covering leadership, managers, workload, recognition, career growth, pay and benefits, culture and wellbeing
  • Department-by-theme sentiment heatmap
  • Department and theme comparisons based on average sentiment assessments scores as applicable

— 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

Open-text engagement surveys capture concerns that headline scores often miss, but interpreting hundreds of comments consistently takes time and can flatten mixed views. In practice it shows up as making sense of mixed feedback: separates positive and negative views within the same comment, so praise for managers does not obscure concerns about workload. Assesses sentiment only for themes employees actually mention. 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; employee engagement and culture diagnostic report comes out, alongside theme-level sentiment findings covering leadership, managers, workload, recognition, career growth, pay and benefits, culture and wellbeing. 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)