Capture every time a theme appears across thousands of conversations, then see which themes show up together and how close they occur. Tag your data to see how those patterns shift across segments and uncover correlated pain points, connected support issues, or hidden theme relationships.
The network graph reveals the top 3 theme pairings by analyzing co-occurrence patterns across thousands of labels.
Import sales transcripts, customer calls, or any text conversations.
Create a theme for each topic you care about. Organize themes in groups and collections.
Label conversations using your themes with a few clicks. Visualize and edit these labels in our conversation browser.
Use filters to segment conversations. View top themes across datasets, or explore which themes are most connected to a specific theme you're investigating.
Onboarding Friction
What are the top 3 pain points users mention during their first week of using the product?
Feature Prioritization
Which requested features co-occur with expressions of frustration or intent to churn?
Workflow Bottlenecks
When users describe their ideal workflow, which current product limitations are mentioned most?
Escalation Patterns
What topics most frequently lead to supervisor escalations in the first 2 minutes of a call?
Resolution Drivers
In calls with high CSAT scores, which agent behaviors appear most consistently?
Coaching Opportunities
Which compliance gaps appear most often in calls flagged for quality review?
Emergent Themes
What unexpected topics are surfacing across interviews that weren't in our original research questions?
Cross-Segment Patterns
How do pain points differ between enterprise and SMB participants discussing the same features?
Sentiment Clustering
Which themes cluster together when participants express strong positive vs. negative emotions?