What Your Employees Are
Really Saying — Even in Free Text
Open-ended survey responses contain your richest intelligence. NLP-powered sentiment analysis extracts patterns, themes, and emotional signals that traditional reporting misses — so you can act on what employees actually mean, not just what they rated.
Numbers Tell You What. Text Tells You Why.
An 68% favorable score on “My manager communicates clearly” is useful. But the 340 written comments explaining what “clearly” means — and doesn’t mean — to your employees is where the real insight lives.
We had 1,800 open-ended responses from our engagement survey and no way to analyze them systematically. Catapult ran NLP analysis and gave us a clear picture of the five themes driving disengagement. We couldn’t have found that manually.
What NLP Sentiment Analysis Delivers
Structured intelligence from unstructured data.
Theme Extraction
Automated identification of recurring topics across hundreds or thousands of open-ended responses.
Sentiment Scoring
Positive, negative, and neutral sentiment scoring at the theme, team, and question level.
Trend Comparison
Compare sentiment across survey periods — is your culture improving, declining, or mixed?
High-Risk Flags
Automatic flagging of language patterns associated with burnout, disengagement, harassment risk, or intent to leave.
Demographic Segmentation
Filter sentiment patterns by tenure, department, manager, location, and demographic cohort.
Executive Summary Report
A plain-language narrative report that makes NLP findings accessible to leaders who don’t want to read data tables.
Your Employees Told You Everything. Let’s Listen.
NLP sentiment analysis turns open-ended survey responses from a pile of text into your clearest signal about what’s working and what’s not.