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.