Question: How can I gather and visualize user sentiment data to inform product roadmap decisions?

If you want to collect and visualize sentiment data to help you decide what to prioritize on your product roadmaps, Canny is a good starting point. The service collects, analyzes and prioritizes customer feedback, with AI features like Feedback Discovery and Smart Replies. It can link to project management tools like Jira or Asana so product teams can build products that meet customer needs.

Another good option is ChainFuse. It uses AI to collect and organize feedback from channels like Discord and Slack, giving you insights so you can make sure your products are in line with community opinion. With data lake pipelines and AI-generated presentations, ChainFuse can help you make data-informed decisions and prioritize actions that meet users' needs.

If you want a more general-purpose feedback management tool, check out Olvy. Olvy collects feedback from Slack, Twitter and other sources, with AI-generated summaries and thematic analysis to handle large volumes of data. It can link to tools like Jira and Zendesk so product teams can make decisions and build products that meet customers' needs.

Last, Enterpret centralizes and analyzes customer feedback from social media, support tickets and other sources, using adaptive AI models to extract insights. It's geared for product development teams that want to streamline their feedback process and get a more accurate view of what customers want to help drive product growth.