Centralize customer feedback, prioritize features, and build better products with AI-powered feedback management.
Canny is a customer feedback management platform that helps teams collect, organize, and prioritize feature requests and feedback. It offers AI-powered features like automatic feedback capture, duplicate detection, smart replies, and comment summaries. Teams can build public or private roadmaps, share updates via changelogs, and integrate with tools like Jira, Intercom, and Salesforce. Trusted by over 50,000 companies, Canny centralizes feedback to inform product decisions and improve customer satisfaction.
Key Features
check_circleAI-powered feedback discovery
check_circleDuplicate detection
check_circleSmart replies
check_circleComment summaries
check_circleFeedback portal
check_circleRoadmap builder
check_circlePublic changelog
check_circlePrioritization formulas
check_circleUser segments
check_circleIntegrations with Jira, Intercom, Salesforce, etc.
check_circleCustomizable branding
check_circlePrivate boards
Use Cases
lightbulbProduct managers collect and organize feature requests from multiple channels, automatically deduplicating them to quantify demand and prioritize the most impactful features.
lightbulbCustomer success teams capture feedback during support conversations using AI, ensuring no insight is lost and enabling data-driven product improvements.
lightbulbSales teams log prospect feature requests directly into Canny, linking them to opportunity revenue to influence roadmap decisions and close deals.
lightbulbMarketing teams publish release notes and changelogs linked to feature requests, automatically notifying voters to boost engagement and feature adoption.
lightbulbFounders and product leaders build public roadmaps to communicate upcoming features, aligning customer expectations and reducing support inquiries.
lightbulbEngineering teams integrate Canny with Jira or ClickUp to seamlessly push prioritized features into development workflows, streamlining the build process.
lightbulbUser research teams use smart replies to ask clarifying questions on feedback, uncovering deeper user motivations and pain points for better product decisions.
feedback managementfeature requestsroadmapproduct managementcustomer insightsAIprioritizationchangeloguser feedbackproduct development
