Every year, HR teams invest time and energy building internal satisfaction surveys. The result? Thousands of open-ended responses — full of value, but hard to digest. Most of the time, these insights are stuck in Excel, buried under vague summaries, or simply never analyzed in depth.
That’s exactly the challenge one HR team overcame using SimpleX, the AI-powered feedback analysis platform built by SimpleDecisions.
A large energy company launched its annual employee engagement survey. Over 3,000 open-text responses came in — covering everything from workload, remote work, management, to career growth.
Here’s what the HR team was facing:
💬 “We had feedback, but nothing solid enough to drive decisions or push real action plans.”
Once they imported their data into SimpleX, everything changed. Within minutes, they had access to:
Responses were automatically grouped by themes (telework, recognition, tools, workload, etc.) — and easily editable to fit their HR framework.
For each topic, SimpleX delivered a sentiment breakdown (positive, neutral, negative), revealing what’s working — and what’s hurting morale.
Thanks to built-in reporting features, the team exported clear visuals and fact-based summaries for leadership — no need for last-minute PowerPoint hacks.
In just 2 days, the HR team was able to:
✅ “SimpleX helped us turn vague comments into a structured roadmap.”
Tool | The Problem | What SimpleX Does Better |
---|---|---|
Excel | Manual, lacks semantic insight | Auto-classifies by topic, tone, keywords |
GPT | Vague summaries, no precision | Contextual, editable, human-level accuracy |
SimpleX | 🎯 Built for qualitative HR data | Fast, accurate, visual, and easy to use |
Still trying to make sense of feedback manually? With SimpleX, you’ll turn open-text responses into HR-ready decisions — no data science or AI expertise required.