🔍 Analysis of Themes & Sentiments
The analysis of themes and sentiments allows you to quickly identify what stands out in open-text responses and comments from your employees.
This helps you detect priorities, highlight strengths, and understand the overall sentiment to take meaningful action.
🌟 Level 1: Results by Question
🎯 Objective
Quickly analyze the main topics and sentiment behind responses to a given question.
📍 Applicable to:
- Open-text questions
- Comments
🧭 What You Can Do
- Identify key themes to prioritize or highlight thanks to the Top & Flop feature.
→ See which topics are most mentioned and their associated sentiment (positive or negative).
- Understand why taking action on certain themes is important, with contextual explanations.
- Dig deeper into sentiment analysis — view the tone (positive, neutral, negative) for each theme and all related responses.
- Switch to the word cloud view if the question does not directly relate to Engagement or QWL (Quality of Work Life).
🪶 Focus Your Comment Reading
For each theme, you can open a modal window to view all related comments and responses.
💡 Why it’s useful:
- Read only the most relevant comments, without going through them all.
- Get a global sentiment overview for each theme to better interpret results in the context of your own organizational challenges.
🌟 Level 2: Prioritization Matrix
🎯 Objective
Gain a global view of all themes identified in open-text responses and comments to prioritize your actions effectively.
📍 Applicable to:
- Open-text questions
- Comments
🧩 How It Works
The matrix automatically classifies themes based on their level of importance and perceived impact:
- 🔴 To prioritize → critical topics often mentioned with negative sentiment
- 🟢 To highlight → strong points to maintain and communicate
- 🟠 To develop → improvement areas worth exploring
- 🟣 To monitor → weak signals to keep an eye on over time
💬 What This Enables
- Quickly identify which themes to focus on, based on internal priorities.
- Detect weak signals, both positive and negative.
- Select specific responses to read in full, for a deeper qualitative analysis.