If you need a platform that offers AI-powered insights into product feedback, MistlyAI could be a good fit. It collects and summarizes feedback from a variety of sources like Slack channels, Zoom calls and manual input. MistlyAI offers AI-powered insights to help you determine what features customers want most and what they complain about most, and it can send weekly summaries of product feedback by way of Slack notifications. It also can track feature requests and bugs automatically, which can be useful for product teams trying to build improvements that are most likely to succeed.
Another good option is Olvy, a user feedback management platform that collects and analyzes feedback from multiple sources like Slack, Discord, Twitter and others. Olvy offers AI-generated summaries, thematic analysis and sentiment analysis to help you make sense of a lot of feedback data. It can integrate with tools like ClickUp, Jira and Zendesk so product teams can keep a pulse on customers and build products that meet their needs.
For a more sophisticated tool, CustomerIQ could be a good choice. It collects and analyzes customer feedback from multiple sources and offers AI-powered highlight extraction and filtering. The platform can help teams identify feature requests, pain points and preferences, and then prioritize actions to drive revenue. CustomerIQ also offers enterprise-grade security and scalability, which is useful for larger teams that want to centralize customer feedback analysis.
Last, you could try Kraftful, which collects and analyzes feedback from reviews, surveys, calls and support tickets. It offers features like feedback synthesis, sentiment analysis and custom surveys, which can help product teams make better decisions and move faster to build products. Kraftful integrates with common services like Intercom and G2, and offers several pricing tiers depending on your needs.