Canny
Centralizes customer feedback to prioritize product features
Canny is a customer feedback management platform that collects, organizes, and prioritizes user input to inform product development.
It supports feedback capture from multiple channels including portals, widgets, and integrations with tools like Intercom and Zendesk. The Autopilot AI automates tasks such as deduplicating entries, sending smart replies for clarification, and generating comment summaries. Users submit posts via a public board where they vote on ideas, and teams assign statuses like planned or complete to track progress.
Key functionalities include user segmentation for targeted analysis, tag-based categorization, and MRR impact sorting to align features with revenue potential. The platform offers boards for different products, private comments for internal discussions, and a public roadmap that updates automatically with status changes. Integrations extend to project management systems like Jira and communication apps like Slack.
Compared to competitors, Canny provides a free tier for up to 25 tracked users, with paid plans adding custom domains, advanced reporting, and SSO. This contrasts with UserVoice, which emphasizes surveys but lacks Canny’s AI automation, and Productboard, which focuses on broader roadmapping at a higher entry cost. Users appreciate the intuitive UI and quick setup, often noting reduced manual organization time.
Limitations include occasional search glitches in large datasets and restricted analytics on the free plan. The changelog feature publishes updates linked to feedback, enhancing transparency. Security complies with GDPR and SOC 2, supporting private or public access controls.
For implementation, connect primary feedback sources first, then configure the widget for in-app use to maximize collection efficiency.
Homepage Screenshot 📸
Video Overview 🎬
What are the key features? ✨
- Autopilot: Automates feedback capture, deduplication, and summarization from integrated sources to streamline manual tasks.
- Feedback Portal: Allows users to submit and vote on feature requests directly from a customizable site embed.
- Smart Replies: AI-generated responses to feedback posts that ask clarifying questions for deeper insights.
- Roadmap: Visual timeline of prioritized features that updates automatically based on post statuses.
- Integrations: Connects with tools like Intercom, Jira, and Slack to pull in and sync feedback across workflows.
Who is it for? 🤔
Examples of what you can use it for 💡
- Product Manager: Uses voting and segmentation to prioritize features based on user demand and revenue impact.
- SaaS Founder: Embeds the portal on their site to collect early feedback from beta users and build a public roadmap.
- Customer Support Agent: Integrates with Intercom to capture requests from tickets and merge duplicates automatically.
- Development Team: Links posts to Jira tasks, tracking progress from planned to shipped with status updates.
- Marketing Lead: Publishes changelog entries tied to feedback to announce updates and boost user engagement.
Pros & Cons ⚖️
- AI automation
- Strong integrations
- User voting
- Basic analytics
FAQs 💬
Canny alternatives 🔗
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Zeda.io
Transforms voice of customer data into AI-driven product insights
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Marvin
Centralizes customer feedback into actionable insights with AI-driven analysis
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UserTesting AI
An online platform that leverages AI to streamline user experience research
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Sprig
An AI-powered product experience platform to optimize user engagement, retention, and satisfaction
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Hotjar AI
Create surveys for any goal in seconds and generate summary reports automatically
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EmbedReviews
AI-powered reviews management that lets you collect and reply to reviews faster
