Question: Can you recommend a solution to help me understand my app users' feedback and sentiment?

If you're trying to get a handle on your app users' opinions and sentiment, Anecdote is worth a look. The customer feedback analytics service monitors and analyzes feedback from many sources, including App Store reviews, support communications, surveys and social media posts. It uses its own Natural Language Processing Engine to spot bugs, sentiment and other feedback trends and areas for improvement. Anecdote can tap into more than 65 feedback sources, and its features include bug analysis, automated AI tagging, customizable alerts and semantic search, which can help cut churn and support tickets.

Another option is Olvy, a user feedback management service for user-obsessed product teams. Olvy collects and analyzes feedback from a variety of channels, including Slack, Discord, Twitter, Telegram and Play Store, then presents it as insights. It can generate summaries, perform thematic analysis and gauge sentiment, all useful for digesting lots of feedback data. Olvy can integrate with tools like ClickUp, Linear, Jira and Zendesk to help product teams get feedback into their workflow and make data-driven decisions about what to build and how to build it to meet customers' needs.

For a broader service, AppFollow is a combination of app store reputation management and user feedback analysis. It includes features like AI review management, product and competitive insights and app store performance tracking. The service spans multiple app stores and can integrate with tools like Tableau, Zendesk and Helpshift. AppFollow is geared for product teams, customer support and ASO professionals who want to better manage their apps and get users to stick around.

Last, Enterpret aggregates customer feedback and analyzes it with adaptive AI models for detailed insights. It can handle a variety of data sources, including social media, sales calls and support tickets, and offers a custom unified feedback taxonomy and a powerful semantic search. That makes it useful for product development teams and customer experience professionals who want to simplify their feedback process and get a better understanding of what's going on.