Question: I need a solution that uses AI to identify key insights from customer feedback and helps me prioritize product development.

If you need a system that uses AI to spot insights in customer feedback and then steer product development accordingly, Enterpret is a good option. It ingests and analyzes customer feedback from social media, sales calls, support tickets and community forums with adaptive AI models, letting product teams discover insights and steer development by the most actionable trends in the feedback.

Another good option is Cardinal, an AI-powered feature backlog tool. It marries customer feedback, CRM data and task management tickets to help product teams make data-driven decisions. Cardinal aggregates feedback from multiple sources, uses AI to spot feature requests, and matches them to actual features and projects for prioritization based on customer value and business impact.

Fibery also could be a good match for your needs, combining market signals and customer feedback for product development decisions. It can gather feedback from email, Intercom, Zendesk, Hubspot, Slack and social media. Fibery offers AI-powered insight detection, customizable prioritization and roadmapping to track progress, so it's a good all-purpose tool for product teams.

Finally, CustomerIQ offers an AI-powered system to gather, analyze and quantify customer feedback. It integrates with tools like Slack, Hubspot, Zendesk and Intercom, and offers AI-powered highlight extraction, filtering and search. That lets teams organize and understand customer data, spot feature requests and prioritize actions to drive revenue.