Engagement Survey Extractor

Turn what your employees actually said into employer brand intelligence

12 July 2026

What It Is

Every engagement survey produces two kinds of data. The numeric scores go to HR dashboards. The open-text responses — where employees actually said something in their own words — usually go nowhere useful.

This tool changes that. It reads the open-text export from your engagement survey, finds the patterns, and produces a structured document that tells you what employees are genuinely motivated by at this company, what they feel is missing, what makes this place feel distinct to the people already inside it, and what a candidate is likely to encounter if they join.

It's not designed to fix anything. It's designed to help you understand what to say — and what not to — when you're building employer brand content.

When to Use It

When you have access to open-text engagement survey data and want to extract something useful for brand and content work. Works with any survey platform — Culture Amp, Glint, Qualtrics, Workday, a Google Form export, anything that produces readable text responses.

Especially valuable when:

  • You're starting or refreshing a brand positioning effort and want to ground it in real employee voice
  • You're building content and want to know what employees would actually say about working here
  • You want to understand the gap between what the brand claims and what employees experience
  • You're trying to find what's genuinely distinctive about this company before you start making claims about it

What to Bring

  • The open-text export — pasted directly, uploaded as a file, or shared in sections if it's very large. Any format that produces readable text works.
  • Metadata if you have it — team, location, department, tenure, role level. If this information is attached to responses, the analysis can be segmented. If not, no problem — the full dataset gets analyzed as one body.
  • Basic context — when the survey was run, roughly how many respondents, what platform if you know it.

If you don't have metadata tags, that's common — especially at smaller companies. The analysis works without them.

What You'll Get

A structured markdown document covering:

What employees are motivated by here — the positive motivational themes that show up consistently, mapped to specific categories (mission, autonomy, collaboration, growth, etc.) with representative language from actual responses and a note on what each theme means for brand content.

What employees feel is missing — the gap themes, distinguished between things broadly felt across many responses and things intensely felt by a smaller group. Each gap is noted as a candidate reality — something to acknowledge honestly rather than overclaim against.

What feels distinct about this company — the specific, unusual observations employees make that don't sound like every other company's engagement survey. These are the raw materials for differentiated content.

Gaps a candidate is likely to encounter — honest observations about what someone joining would probably experience, drawn from what current employees actually said.

A motivational landscape map — a quick-reference table showing which motivational categories are being fulfilled and which feel like gaps, for use in positioning and conent strategy.

Language worth preserving — specific phrases and expressions from employee responses that capture something true and vivid — useful for content because they're ral, not manufactured.

Employer brand implications summary — what to amplify, what to acknowledge honestly, what to avoid overclaiming, and where this company's most specific and distinctive story lives.

A Note on Volume

Smaller companies (under 300 responses) get a single-pass analysis. Larger datasets get processed in batches and synthesized across all of them — so even a survey with thousands of responses gets a complete picture, not a sample.

The skill will tell you which approach it's taking before it begins.

What This Is Not

This is not an HR intervention tool. It does not recommend what to fix, how to improve scores, or what leadership should do differently. It reads what employees said and surfaces what matters for employer brand use — nothing more.

To Start

Share the data and basic context:

"Here's our Culture Amp open-text export from our Q3 survey — about 800 responses. We have team tags attached but not location..."

"I have a Google Sheets export of open-text responses from our annual survey — roughly 200 people. No metadata attached, just the raw comments..."

"This is a large dataset — around 2,000 responses from a company-wide survey. I'll paste it in sections..."

The skill will confirm the approach before beginning.

Download the .md skill file (Dropbox)Instructions on how to install a skill

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