Question: Do you know of a solution that uses AI to analyze customer responses and provide actionable insights for product development?

Enterpret is designed to aggregate and analyze customer feedback with adaptive AI models. It can combine social media posts, sales calls, support tickets and other sources of feedback into detailed information that can help product teams grow products. It comes with a custom taxonomy, powerful semantic search and an analytics suite, and is geared for product development teams and customer experience staff.

Another option is Anecdote, a customer feedback analytics service that uses its own Natural Language Processing Engine to process feedback from many sources. It can provide real-time insights, bug reports, automated tagging and customizable alerts to help companies improve customer satisfaction and lower churn.

CustomerIQ is an AI-powered service geared for marketing and product teams. It aggregates and analyzes feedback from many sources, including Slack and Hubspot, with AI-powered highlight extraction and filtering. The service lets teams find feature requests, pain points and preferences, and then prioritize actions to maximize revenue.

If you need a fast and deeper analysis, Sauce automates feedback collection and analysis with results in less than 5 minutes. It uses AI clustering to find key trends and issues, integrates with Slack, Intercom and Zendesk, and supports real-time clustering and multiple team members.