AI-Powered Clustering Analysis
October 2024 Updates
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Introducing the Cluster Tab → our powerful new AI-powered analysis feature that identifies groups of participants that care about the same stuff. Get ready to make data-driven customer personas using AI!
What is the Cluster Tab?
The Cluster Tab groups participants based on their voting patterns, helping you understand the main groups with shared preferences and priorities from your survey. Using k-means clustering, OpinionX analyzes how people voted on various ranking options and create distinct "clusters" that share similar opinions. Each cluster is displayed as a simple summary and these clusters can be plugged into all of OpinionX other features.
How Does It Work?
1. Clustering Participants: The Cluster Tab identifies patterns in the voting data, assigning each participant to a cluster based on their responses. This allows you to see which groups of participants voted similarly across all ranking options.
2. Analyzing Opinions: After clustering, we dive deeper to determine which options each cluster felt most strongly about. We calculate the 'Z score' for each option, measuring how far a cluster's average score deviates from the overall average. This helps pinpoint the ranking options that resonate most with each group.
3. Understanding Characteristics: While opinions are the ranking options in your survey, characteristics are additional data points collected about participants. These insights help you identify overrepresented types of people within each cluster, enriching your understanding of your audience.
How to Use the Cluster Tab:
Getting started is simple! No data science experience is required. Just head to the Cluster Tab and click "Run Clustering." You can customize your analysis using the Advanced Configuration menu or run it with default settings for quick insights. Learn more here.