tools
Chattermill Feedback Analytics
Chattermill Feedback Analytics unifies customer feedback from surveys, support, reviews, social channels and calls for AI-based analysis.
Chattermill collects feedback from multiple sources, enriches it with customer and business context, and uses Lyra AI to classify themes, sentiment and specific issues. Teams can track NPS, CSAT and sentiment, investigate impact, detect anomalies, and create reports, dashboards and automated workflows.
It is designed for CX, Voice of Customer, Insights, Product, Support and Operations teams. It is not a survey-collection tool or a one-off analysis service, and pricing requires a sales conversation.
Features
- Connects with 65+ feedback channels
- Analyzes feedback in 100+ languages with translation and transcription
- Classifies feedback with Lyra AI and aspect-based sentiment analysis
- Tracks NPS, CSAT and customer sentiment over time
- Surfaces precise issues, opportunities and AI-generated summaries
- Provides impact analysis and anomaly detection
- Creates reports, dashboards, workflows and automated insight sharing
- Connects AI agents through MCP and supports API data connections
Use cases
- Unify surveys, reviews, support tickets, social posts and call transcripts
- Prioritize product improvements using customer issues and supporting quotes
- Track how feedback themes affect NPS, CSAT and sentiment
- Detect emerging customer problems through anomaly alerts
- Share recurring customer insights with CX, Product and Operations teams
- Query customer feedback from compatible AI agents through MCP