Question: I need a solution that can gather and analyze user feedback to inform my app development decisions.

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Canny

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.

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Anecdote

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.

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AppFollow

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.

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Olvy

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.

Additional AI Projects

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Collectif

Automates analysis of user feedback, interviews, and support tickets, surfacing insights to inform product and growth decisions.

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Fibery

Unify customer feedback from multiple sources, and use AI to identify key insights, prioritize development, and inform data-driven product decisions.

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Kraftful

Analyzes customer feedback from various sources, surfacing actionable insights, sentiment trends, and pain points to inform product development decisions.

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Sprig

Uncover user feedback trends, make data-driven product decisions, and improve user experience with AI-powered surveys, replays, and feedback analysis.

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ChainFuse

Gather and analyze user feedback from multiple sources, categorizing it into actionable insights with AI-powered collection, tagging, and visualization capabilities.

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Appinion

Automates qualitative data analysis to turn user reviews into actionable insights, enabling informed decisions and swift responses to sentiment changes.

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Zefi

Consolidates user feedback from multiple sources, automatically categorizing and analyzing it to identify key patterns, trends, and emerging needs.

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Monterey AI

Automates collection, analysis, and action on customer feedback from various data sources, enabling data-driven decisions and optimized product development.

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Iterate

Unifies customer insights across teams, providing a single platform for gathering and analyzing feedback to inform customer-centric decision making.

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Qualli

Automates feedback collection, sentiment analysis, and tagging, providing a centralized platform for real-time user insights and informed decision-making.

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Featurebase

Gather and prioritize product feedback with AI-driven duplicate detection, public roadmaps, and integrations to build customer-loved products.

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Gleap

Collects and analyzes customer feedback through visual bug reporting, live chat, AI-powered bot support, and surveys to inform product development and improve user experience.

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Wootric

Capture feedback at key moments to understand what drives loyalty and improve customer experience.

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Appzi

Gather and analyze customer feedback with customizable widgets and AI-powered insights, informing product improvements and customer satisfaction trends.

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Qualtrics

Reveals actionable insights across customer, employee, and market research, empowering organizations to make better decisions and fuel growth.

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Screeb

Unifies product analytics, customer feedback, and in-app messages to deliver better user experiences, driving adoption and conversion rates through data-driven insights.

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Wiredash

Capture intuitive feedback, automate customer satisfaction surveys, and access privacy-respecting analytics to improve your Flutter app development.

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Feedbuck

Automatically generates targeted feedback questions based on your website and goals, ensuring relevant insights to inform product development and improvement.

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data.ai

Combines data from multiple signals to provide unified insights, enabling fast and confident decision-making across the entire app lifecycle.

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FeedLens

Automates app review management, extracting valuable insights and responding with contextually relevant answers, saving time and energy for businesses.