If you're looking for a tool to gather feedback, set priorities and gauge sentiment, LoopedIn is a good option. Customers can submit feedback anonymously and vote on features, and sentiment analysis and customizable, embeddable roadmaps are built in. With analytics and release notes, LoopedIn can keep communication channels open and communication channels transparent. It can integrate with more than 1,000 tools, and there are several pricing tiers depending on your business needs.
Another contender is Olvy, which is geared for managing user feedback from multiple channels like Slack, Discord and Twitter. It can generate AI summaries and thematic analysis for large volumes of feedback. Olvy is designed to help product teams make more data-driven decisions and stay in touch with customers, with features like feedback translation for multilingual support and integration with tools like ClickUp and Jira.
Canny is a more general-purpose customer feedback tool that can integrate with tools like Autopilot and Jira. It's got AI-powered features like Feedback Discovery and Comment Summaries to automate work. Canny also lets you publish or keep roadmaps and changelogs private so you can engage customers and automate release notes, making it good for teams of any size.
If you're looking for a more serious feedback analytics tool, Anecdote can give you real-time insights by monitoring feedback from many sources, including App Store reviews and social media. It uses its own Natural Language Processing Engine to spot bugs and sentiment trends. Anecdote features like automated AI tagging and customizable alerts can help you optimize the customer experience and reduce churn.