The AI Dashboard is designed to provide clear insights into survey data using advanced AI analysis. This article explains its structure, key features, and how each part supports decision-making.
🔍 Structure & Filtering
The dashboard is divided into three main pages, each of which can be filtered by organizational unit—such as team or department.
📝 Note: For anonymous surveys, teams are only shown individually if at least 6 responses are collected.
If participant profiles include additional attributes (e.g. age, gender, tenure, job group), these can also be used as filters—though only quantitative data is affected, not text responses.
📈 Overview & AI Analysis
This section provides a high-level summary of survey results with deep AI-driven insights:
Basic Information: Displays survey title and response rate.
Sentiment Analysis 🧠: Uses AI to detect the emotional tone of all text responses.
Top Themes: Organizes all text inputs into topic clusters and highlights the most frequently mentioned themes along with their sentiment.
Responses: Lists all survey questions in order with answers, summaries, and the number of responses per question.
Correlation Analysis: Shows the top 3 strongest correlations between scale-based questions, including a textual interpretation of statistical significance.
🚦 Pain Points & Action Plans
This section helps teams move from insights to impact:
Pain Points ⚠️: Identifies problem areas, categorized by urgency (high, medium, low).
Recommended Actions: Offers solutions to the problems, sorted into short-, mid-, and long-term strategies.
Follow-up Questions: Suggests new questions for future surveys to dive deeper into current issues.
🧾 Management Summary
A concise, executive-level overview that highlights key themes, overall sentiment, and suggested actions for quick strategic alignment.