If you want a tool to marry customer feedback with your CRM so you can tie feedback to specific accounts and users, Cardinal is a good option. This AI-powered feature backlog tool marries customer feedback, CRM data and task management tickets so product teams can make decisions based on data. It integrates with common tools like Salesforce, HubSpot and Zendesk, and offers features like AI-driven feature detection and prioritization and a unified API for deeper integration.
Another option is Enterpret, which centralizes and analyzes customer feedback using adaptive AI models to extract insights that fuel product growth. It centralizes feedback from a variety of data sources, including social media, sales calls and support tickets. Enterpret offers a custom unified feedback taxonomy, semantic search and user-friendly analytics, so product development teams can easily prioritize and build what their customers want.
For those who need a tool that integrates with a variety of applications, CustomerIQ could be a good fit. It centralizes and analyzes customer feedback from sources like Slack, HubSpot, Zendesk and Intercom, among others. The platform offers AI-driven highlight extraction, filtering and search abilities, so teams can organize and understand customer data, identify feature requests and prioritize actions to drive revenue.
Last, Fibery is a good option for product teams that want to marry market signals and customer feedback for product development decisions. It can gather feedback from email, Intercom, Zendesk, Hubspot, Slack and social media, and offers AI-powered insight detection and customizable prioritization. Fibery integrates with tools like Jira, Trello and Airtable, and offers features like interview summarization and sentiment analysis, so teams can make data-driven decisions and close the feedback loop efficiently.