Question: I'm looking for a tool that can collect and organize customer feedback from multiple sources, including social media and support tickets.

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Enterpret

Enterpret is a good option, with a single platform to gather feedback from social media, sales calls, support tickets and community forums. It uses adaptive AI models to extract insights and offers feedback trend information that's actionable. Among its features are semantic search, easy-to-understand analytics and integration with a variety of feedback sources. It's geared for product development teams and customer experience teams.

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Anecdote

Another good option is Anecdote, which offers real-time insights by monitoring and analyzing feedback from many sources, including App Store reviews, support messages, surveys and social media. It uses its own Natural Language Processing Engine to spot bugs and sentiment trends, and it integrates with more than 65 feedback sources. Anecdote offers features like automated AI tagging, customizable alerts and competitor analysis, so it's a good option for customer experience optimization.

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CustomerIQ

For a more AI-heavy approach, CustomerIQ gathers and analyzes feedback from multiple sources, including Slack, Hubspot, Zendesk and others. It offers AI-powered highlight extraction, filtering and search, so teams can spot feature requests, pain points and preferences. It's got enterprise-class security and scalable options, too, so CustomerIQ is designed to make customer feedback analysis easier and to help businesses make money by turning insights into revenue.

Additional AI Projects

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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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Feedback Rivers

Unifies customer feedback from multiple sources, providing AI-driven insights and organized Slack channels for actionable customer understanding.

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Olvy

Automatically gather and analyze customer feedback from multiple sources, transforming raw data into actionable insights with AI-powered summaries and reports.

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Sauce

Automates actionable customer insights in under 5 minutes, surfacing key trends and issues through AI clustering, and prioritizing feedback by customer attributes.

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ClientZen

Automates customer feedback analysis across the customer journey, providing actionable insights to improve satisfaction, loyalty, and business success.

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Dovetail

Centralizes customer data in a single repository, surfacing key moments and common themes to uncover unmet needs and drive data-driven product decisions.

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Medallia

Uses machine learning to extract key insights from every interaction, spotting trends and prioritizing actions to drive customer loyalty and employee engagement.

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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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Kraftful

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

Captures and connects experience data from every touchpoint, generating richer insights and predicting customer intent to empower targeted actions.

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Essense

Analyze customer feedback and competitor reviews from multiple sources to inform product roadmaps and marketing strategies with actionable insights.

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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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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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Cycle

Capture product feedback from multiple sources, automate insights with AI, and collaborate on customer-driven roadmaps in a streamlined workflow.

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Canny

Centralize customer feedback, analyze and prioritize requests, and create public or private roadmaps to build a better product roadmap, all in one place.

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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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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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Syncly

Centralizes customer feedback, analyzing sentiment trends and flagging critical issues in real-time, enabling data-driven decisions to improve customer experience.

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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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Sprig

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