Question: I need a way to integrate customer feedback into my existing workflow, what tools can do that?

The first, CustomerIQ, is an AI-based platform for marketing and product teams. It pulls in customer feedback from a variety of sources like Slack, Hubspot, Zendesk and others, analyzes it and scores it. CustomerIQ can extract highlights with AI, filter and search customer feedback, and has tools to align teams, use an AI assistant and edit and collaborate on documents. It's a powerful system for managing customer feedback.

Another option is Canny, which is geared specifically for collecting, analyzing and prioritizing feedback to help product teams build roadmaps. Canny can integrate with customer support tools like Autopilot and has AI-based features like Feedback Discovery, Smart Replies and Comment Summaries. You can define your own scoring formula to determine the priority of feature requests and build public or private roadmaps that can be integrated with project management tools like Jira or Asana.

If you want a more centralized system, Enterpret combines customer feedback from social media, sales calls, support tickets and community forums with adaptive AI models. It offers detailed insights to help you grow your product and has a custom unified feedback taxonomy, powerful semantic search and an intuitive analytics suite. If you want to centralize your customer feedback and get a better idea of what's going on, Enterpret is worth a look.

Last, Olvy is a user feedback management platform that collects and prioritizes feedback from multiple sources, including Slack, Discord, Twitter and Play Store. It can generate summaries with AI, perform thematic analysis and sentiment analysis to help you understand large amounts of feedback data. Olvy's centralized feedback management system and integration with tools like ClickUp, Jira and Zendesk make it a good option for product teams that want to make data-driven decisions and build customer-centric products.