
AI-powered customer feedback analytics platform
Chattermill is a unified customer feedback analytics platform that uses AI to analyze unstructured text from support tickets, surveys, reviews, social media, and chat transcripts. It automatically identifies themes, sentiment, and emerging trends without manual tagging, helping product and CX teams turn raw customer conversations into actionable product insights at scale.
Aggregate feedback from surveys, support tickets, reviews, social media, and chat in one platform
Automatically identify and categorize themes from unstructured feedback without manual tagging
Granular sentiment scoring at the aspect level — not just positive/negative but why customers feel that way
Proactive alerts when feedback patterns shift suddenly — catch emerging issues before they become ticket floods
Build role-specific dashboards for product, CX, and executive teams with real-time data
Analyze feedback in 100+ languages without manual translation
Connect to Zendesk, Salesforce, Intercom, Trustpilot, App Store, and other feedback sources
Best for teams with high ticket volumes who need AI-powered analytics to find product insights in existing support data without adding manual work.
Best for teams drowning in NPS feedback data who need AI to surface the specific themes and segments driving score changes — without weeks of manual analysis.
Track how customer sentiment and topics evolve over time with historical trending
Drill down from high-level trends to specific customer quotes and ticket examples
Schedule automated reports and export insights to stakeholder tools