Question: Can you recommend a customer feedback management tool that includes AI-powered automation and customizable scoring formulas?

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Canny

If you're looking for a customer feedback management tool with AI-powered automation and customizable scoring formulas, Canny is a top contender. It collects, analyzes and prioritizes feedback, with features like Feedback Discovery, Smart Replies and Comment Summaries. You can define your own scoring formula to help you prioritize feature requests and integrate with project management tools like Jira or Asana. Canny also offers public or private roadmaps and changelogs, so it's a good option for product development.

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Productboard

Another top contender is Productboard, which uses AI to help product teams build products that customers want as soon as possible. It offers collaborative roadmapping, real-time feedback collection and AI-powered summarization to help you find the most important topics. Productboard offers data-driven prioritization through customizable scoring systems, making it a good fit for product management, product operations and customer success teams. It integrates with a range of other tools, including Jira, Zendesk and Slack, for a smooth workflow.

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Cardinal

Cardinal combines customer feedback, CRM data and task management to help product teams make decisions. It collects feedback from multiple sources, uses AI to identify feature requests, and maps them to actual features and projects. Cardinal features include prioritization based on customer value and revenue KPI calculation, so it's a good option for prioritizing and managing feedback.

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Fibery

If you want a broader perspective, check out Fibery. The tool collects market signals and customer feedback for product development decisions. It collects feedback from multiple sources, uses AI to identify insights, and offers customizable prioritization and roadmapping. Fibery integrates with tools like Jira, Trello and Airtable, so it's a good option for product teams that want to centralize their feedback process.

Additional AI Projects

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CustomerIQ

Automatically extracts and analyzes customer feedback from multiple sources, providing actionable insights to drive revenue and inform product decisions.

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Enterpret

Aggregate customer feedback from multiple sources, analyze with adaptive AI models, and uncover actionable insights to inform product development decisions.

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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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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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Featurebase

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

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Anecdote

Uncover actionable insights from customer feedback across multiple sources, including reviews, messages, and social media, to inform data-driven product development and decision-making.

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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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Eververse

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

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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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Aha!

Aha! offers a complete product management solution for efficient development and delivery.

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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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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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airfocus

Streamline product management with a flexible platform that prioritizes, aligns, and delivers products successfully, leveraging AI-driven tools for objective setting and feedback analysis.

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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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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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Zefi

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

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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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Medallia

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