If you want a tool that'll give you insight into how people are engaging and where they're struggling so you can better plan your content calendar, CustomerIQ is a good place to start. The AI-powered tool collects, analyzes and quantifies customer feedback from a variety of sources like Slack, Hubspot, Zendesk, Intercom and others. It can use AI to extract highlights, filter and search, so teams can process and understand customer data, figure out what customers are asking for, where they're struggling and what they like. CustomerIQ is intended to help teams focus on the actions that will drive revenue and to align the features team, AI assistant and document editing and collaboration tools.
Another good option is Dovetail, which can serve as a Customer Insights Hub by collecting feedback from multiple sources in one place. It can transform customer data into insights by surfacing key moments, themes and unmet needs. Dovetail integrates with tools like Slack, Confluence and Jira, and has strong security protections. It's geared for big companies that want to make data-driven decisions and improve customer satisfaction.
Olvy is another user feedback management tool that can help you collect, analyze and prioritize customer feedback from multiple sources into insights. It can generate AI summaries, thematic analysis and sentiment analysis so you can better process the data. Olvy can integrate with tools like ClickUp, Linear, Jira, Zendesk and Intercom, and has reported a boost in productivity.
For a more mature product, Enterpret centralizes customer feedback and analyzes it with adaptive AI models to extract insights. It can combine feedback from social media, sales calls, support tickets and community forums to provide detailed insights into product growth. Features include a custom unified feedback taxonomy, powerful semantic search and an easy-to-use analytics suite, making it a good option for product development teams and customer experience pros.