AI Product Feedback Analytics for Product Teams - Chattermill
Build exceptional products based on user insights
Stop guessing what to build next. Turn user feedback into well-structured product insights that are prioritized, ready-to-act on, and routed to exactly the right team.
Roadmap Prioritization
Turn feature requests and issues into roadmap priorities.
Hypothesis Testing
Validate assumptions with real user feedback.
Issue Discovery & Alerting
Identify the biggest issues and trigger alerts.
Opportunity Discovery
Spot growth opportunities buried in customer feedback.
Chattermill MCP
Designed for the way product teams work
Access customer insights directly in your AI agent, with the Chattermill MCP.
Get product insights faster than ever before
Ask plain-language questions about what users need, without leaving your AI agent.
Real customer data, available wherever you work
Pull emerging issues and sentiment shifts directly in Claude or ChatGPT, right when you need more context.
Close the loop — from feedback to action in seconds
Pull quotes, volumes, and sentiment together in one go — ready to drop into a spec, retro, or stakeholder update.
Identify and act on product issues faster
Turn conversations and customer feedback into clear issues that are immediately prioritized and instantly actionable.
Precise issues, ready to act on
See the most precise issues, with exact mention counts, the moment you log in.
Get straight to the root cause
Lyra AI generates analyst-grade summaries with clear context and data-backed insights.
Validate with actual quotes
Every insight backed by real customer quotes — so you always know where it came from.
Make roadmap decisions confidently, backed by real data
Take the guesswork out of product planning - define the product direction based on user insights.
Always know what your team should build next
Identify and prioritize issues, bugs, and feature requests your team should tackle first.
Quantify impact with custom reports
Break down feedback by segment to uncover the root cause and act with confidence.
Combine insights into dashboards that tell a story
From discovery to post-launch analysis — build compelling narratives that influence decisions.
Keep work moving across teams and agents
Access insights where collaboration happens — in Slack, Jira, or directly inside Claude, ChatGPT and Cursor through Chattermill's MCP server.
COMING SOON: CHATTERMILL AGENT
Product feedback analytics built for the agentic era
Purpose-built for product teams. Powered by AI Agents that operate continuously in the background, so insights find you — not the other way around.
AI Agent, monitoring 24/7
Automatically detects issues and adds context — explaining what happened, and why.
Proactive insights, always on
Trending feature requests and emerging issues surfaced before your team has to ask.
Routed to the right team
Insights delivered to the right team — across Slack, Teams, Jira, Linear and more.
MCP that connects to your AI agents
Bring customer insights into Claude, Claude Code, ChatGPT, Codex, and more.
Tests of user feedback
Frequently Asked Questions
What is product experience analysis?
Product experience analysis involves examining user feedback on digital experiences from sources like surveys, product reviews, support conversations, social channels, and voice calls. These insights help guide strategic product decisions, enhance features, inform the product roadmap, and improve the overall user experience.
What types of feedback data can I integrate into Chattermill?
Chattermill lets you integrate feedback from various sources like survey tools, online review sites, social media, and customer service platforms (including support calls).
Does Chattermill comply with GDPR and CCPA?
Yes, Chattermill is fully compliant with GDPR and CCPA regulations, ensuring that all personal data is handled securely and responsibly.