If you're looking for a tool to aggregate and analyze user feedback to help you make decisions about your app, Canny is a strong contender. It aggregates, analyzes and prioritizes feedback to help you build product roadmaps, and it integrates with tools like Jira and Asana. Canny also has AI-powered features like Feedback Discovery, Smart Replies and Comment Summaries to help you focus on the most important feature requests and communicate with customers through public changelogs.
Another powerful option is Anecdote, which offers real-time insights by monitoring feedback from multiple sources such as App Store reviews, support messages, surveys and social media. Its proprietary Natural Language Processing Engine can identify bugs and sentiment trends, and it can integrate with more than 65 feedback sources. Anecdote features include automated AI tagging, customizable alerts and semantic search, and is geared for teams looking to reduce churn and improve customer satisfaction.
AppFollow is an all-in-one platform for app store reputation management and user feedback analysis. It includes tools for competitive insights, AI review management and app store performance monitoring. AppFollow supports multiple app stores and integrates with tools like Tableau, Slack, Zendesk and Helpshift, making it a good option for product teams and customer support teams looking to optimize app management and user engagement.
If you prefer a more lightweight option, take a look at Olvy. The tool aggregates feedback from multiple sources like Slack, Discord, Twitter and the Play Store, and offers AI-generated summaries and sentiment analysis. Olvy offers a centralized feedback management system and integrates with tools like ClickUp, Linear, Jira and Zendesk, so product teams can make data-driven decisions and build customer-centric products.