The AI Dashboard provides in-depth insights into survey data through modern AI analysis. This article explains the structure, key features, and how they support your decision-making processes.
🔍 Structure & filter options
The dashboard is divided into three main pages, each of which can be filtered by organisational unit — e.g. by team or department.
📝 For anonymous surveys, teams are only displayed when at least 6 responses are available.
If additional profile attributes are available (e.g. age, gender, tenure), you can also use these for filtering — however only for quantitative data.
📈 Overview & AI analysis
Here you will find a summary of the survey results with in-depth AI analysis:
Basic information — Survey title and response rate.
Sentiment analysis 🧠 — Uses AI to detect the emotional tone of text responses.
Most mentioned topics — Groups text responses into topic clusters and shows the most common themes along with sentiment.
Answers — Lists all questions with responses, summaries, and number of submissions.
Correlation analysis — Shows the three strongest correlations between scale questions, including an interpretation of statistical relevance.
🚦 Pain points & measures
From insight to action:
Pain points ⚠️ — Problem areas sorted by importance (high, medium, low).
Recommended measures — Concrete suggestions for resolution, divided into short-, medium-, and long-term actions.
Suggested follow-up questions — New questions for upcoming surveys to explore identified topics in more depth.
🧾 Management summary
A compact overview for leaders covering key topics, sentiment, and recommendations for action for quick orientation.