Question: Is there a tool that uses AI to analyze customer feedback and sentiment, and helps us make data-driven product decisions?

Enterpret is an information retrieval system that's designed to centralize and analyze customer feedback with adaptive AI models. It can combine feedback from different sources, including social media, sales calls, support tickets and community forums. With a custom unified feedback taxonomy, powerful semantic search and an analytics suite that's easy to use, Enterpret lets product development teams process customer feedback more efficiently and get a better understanding of what's going on.

Another good option is CustomerIQ, an AI-powered platform that collects, analyzes and quantifies customer feedback from multiple sources. It integrates with services like Slack, Hubspot, Zendesk and others, and offers AI-powered highlight extraction, filtering and search. That lets teams organize and understand customer data so they can take action and generate revenue with data-driven insights.

For a more complete product experience, Sprig combines targeted surveys, replays, feedback collection and AI analysis to help companies get the most out of product adoption and retention. It surfaces trends in user feedback and behavior, making data-driven product decisions easier. Sprig's advanced features like expert-made templates, data integrations and customizable dashboards provide continuous learning and actionable insights.

Last, Sauce automates the collection and analysis of customer feedback with sophisticated AI clustering. It integrates with Slack, Intercom and Zendesk, and offers real-time clustering and segmentation by customer attributes. Sauce can help improve product adoption and reduce churn by spotting customers who are most at risk and addressing their top issues. That makes it a good fit for teams that want to improve their customer feedback process.