If you're looking for a more comprehensive tool to handle customer feedback and respond accordingly, Canny is a great option. It collects, processes and prioritizes feedback to help inform product roadmaps. With Canny's AI-powered Feedback Discovery, Smart Replies and Comment Summaries, much of the feedback work is automated. Canny also integrates with project management tools like Jira and Asana so you can create public or private roadmaps and engage customers with changelogs.
Another powerful option is Enterpret, which aggregates and analyzes customer feedback with adaptive AI models. It can combine feedback from social media, support tickets and community forums, offering detailed insights to fuel product growth. Enterpret offers a custom unified feedback taxonomy, powerful semantic search, and an intuitive analytics suite, making it a good fit for product development teams and customer experience professionals.
If you want to automate as much of the feedback analysis as possible, ClientZen can help. It cleans, tags and tracks feedback across the customer journey, offering data insights to help you improve customer satisfaction and business results. With real-time impact monitoring, AI-powered data cleaning and automated feedback tagging, ClientZen is geared for teams in customer experience, support, product management and other areas.
Last, Anecdote offers real-time customer feedback analytics tools like a proprietary Natural Language Processing Engine, semantic search and customizable alerts. It can connect to more than 65 feedback sources, including Slack, and offers tools for bug analysis, survey analysis and competitor analysis. That makes it a good fit for global teams trying to maximize customer experience.