Question: I'm looking for a tool that can help my team collect and organize product feedback from multiple sources like Slack and Intercom.

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CustomerIQ

If you need a tool to gather and synthesize product feedback from different sources, CustomerIQ is worth a look. It has native integrations with Slack, Intercom and other tools, as well as Zapier and API connections to more than 1,000 other apps. CustomerIQ's AI abilities include extracting highlights, filtering and searching, so you can understand what customers are saying, figure out what they're asking for and decide what to do. It also has tools to align your team, AI assistants and document editing, so it's good for teams that want to get feedback into their workflow.

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Olvy

Another powerful option is Olvy, which can handle user feedback from Slack, Discord, Twitter and other sources. Olvy can generate summaries, perform thematic analysis and sentiment analysis to help you make sense of lots of feedback. It can integrate with tools like ClickUp, Linear, Jira, Zendesk and Intercom for a unified feedback system and more detailed results. The tool can help you make decisions based on data and build products that customers want.

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Sauce

If you need something fast and easy, check out Sauce. This AI-based tool can gather feedback and analyze it in less than 5 minutes. Sauce integrates with Slack, Intercom and Zendesk, and you can upload historical data in a CSV file. Features include real-time clustering, customer segmentation and SOC2 compliance. It's good for improving product adoption and reducing churn.

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Fibery

Last, Fibery can help product teams build products based on market signals and customer feedback. It can gather feedback from email, Intercom, Zendesk and Slack, and has AI-powered insight detection and customizable prioritization. Fibery can integrate with Jira, Trello and Airtable, and has features like interview summarization and sentiment analysis. It's designed to help product teams work more efficiently and make data-driven decisions.

Additional AI Projects

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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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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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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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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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Feedback Rivers

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

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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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Kraftful

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

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

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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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MistlyAI

Automatically discovers, logs, and summarizes product feedback from multiple sources, enabling teams to build better products faster with actionable insights.

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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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Collectif

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

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