Question: Can you suggest a platform that uses AI to categorize and prioritize user feedback for product development?

For a platform that uses AI to process and rank user feedback for product development, Productboard is a great option. It includes AI-powered customer insights, feedback summarization and data-driven prioritization so teams can organize and prioritize ideas using different frameworks and scoring systems. That means you can build products that customers want more quickly. It also integrates with tools like Jira, Zendesk, Slack and GitHub to help you get more use out of your data and automate some work.

Another good option is Fibery, which can incorporate market signals and customer feedback into product development decisions. It can pull in feedback from email, Intercom and social media, and uses AI for insight detection, sentiment analysis and automation. Fibery also offers customizable prioritization and roadmapping so product teams can track progress and make data-driven decisions. It integrates with Jira, Trello and Airtable and offers fine-grained permissions for security.

Enterpret is another option. The platform centralizes customer feedback and analyzes it with adaptive AI models to prioritize and build product features. It can combine feedback from multiple sources, including social media, sales calls and support tickets, for detailed insights and feedback trends. Enterpret features include a customizable unified feedback taxonomy, semantic search and easy-to-use analytics. That makes it a good fit for product development teams and customer experience professionals.

Last, Olvy offers a user feedback management system that can pull in and prioritize feedback from Slack, Discord and Twitter. It uses AI to summarize feedback, perform thematic analysis and offer sentiment analysis, so teams can process lots of feedback data. Olvy's centralized feedback management system and AI-generated reports let product teams make data-driven decisions and deliver products that customers want.