Question: I'm looking for a platform that helps me collect and prioritize customer feedback from multiple sources.

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Olvy

Olvy is a powerful user feedback management tool for product teams. It can pull in feedback from Slack, Discord, Twitter, Telegram and Play Store, then offer AI-generated summaries, thematic analysis and sentiment analysis to help you prioritize customer insights. Olvy also integrates with tools like ClickUp, Jira, Zendesk and Intercom so you can get the feedback process out of your workflow and into the data-driven decision-making process.

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CustomerIQ

Another good option is CustomerIQ. This AI-powered tool aggregates and analyzes customer feedback from sources like Slack, Hubspot, Zendesk and Intercom. It includes features like AI-driven highlight extraction, filtering and search, so teams can categorize and understand customer information. CustomerIQ is geared for marketing and product teams looking to drive revenue through data-driven insights and with enterprise-grade security and scalability.

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Enterpret

If you want a broader view, Enterpret centralizes customer feedback from multiple data types including social media, sales calls, support tickets and community forums. It uses adaptive AI models to extract insights and offers granular feedback trends. This tool is geared for product development teams and customer experience professionals who want to get their feedback process in order and get more accurate insights.

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Canny

You might also want to check out Canny, which collects feedback from multiple sources and uses AI to automate tasks like feedback discovery and comment summaries. You can set your own scoring formula for feature requests and create public or private roadmaps that integrate with project management tools like Jira and Asana. Canny is good for teams of any size looking to improve product development based on customer feedback.

Additional AI Projects

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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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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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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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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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Zefi

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

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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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Featurebase

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

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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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Productboard

Automate product development with AI-driven tools, aligning teams with customer needs and streamlining roadmapping, prioritization, and product planning.

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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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Eververse

Accelerate product development with AI-driven feedback analysis, writing assistance, and predictive prioritization, streamlining the product development process.

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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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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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Kraftful

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

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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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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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InMoment

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

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zenloop

Automates customer feedback analysis, identifying key drivers of satisfaction and dissatisfaction, and triggering targeted actions to improve customer experiences.

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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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Eclipse AI

Aggregates omnichannel customer data for actionable insights, driving retention and revenue through centralized, location-specific, and AI-powered analysis.