Olvy is a powerful user feedback management tool for product teams. It can pull in feedback from Slack, Discord, Twitter, Telegram and Play Store, then offer AI-generated summaries, thematic analysis and sentiment analysis to help you prioritize customer insights. Olvy also integrates with tools like ClickUp, Jira, Zendesk and Intercom so you can get the feedback process out of your workflow and into the data-driven decision-making process.
Another good option is CustomerIQ. This AI-powered tool aggregates and analyzes customer feedback from sources like Slack, Hubspot, Zendesk and Intercom. It includes features like AI-driven highlight extraction, filtering and search, so teams can categorize and understand customer information. CustomerIQ is geared for marketing and product teams looking to drive revenue through data-driven insights and with enterprise-grade security and scalability.
If you want a broader view, Enterpret centralizes customer feedback from multiple data types including social media, sales calls, support tickets and community forums. It uses adaptive AI models to extract insights and offers granular feedback trends. This tool is geared for product development teams and customer experience professionals who want to get their feedback process in order and get more accurate insights.
You might also want to check out Canny, which collects feedback from multiple sources and uses AI to automate tasks like feedback discovery and comment summaries. You can set your own scoring formula for feature requests and create public or private roadmaps that integrate with project management tools like Jira and Asana. Canny is good for teams of any size looking to improve product development based on customer feedback.