Question: Do you know of a solution that can help me make data-driven product decisions by extracting insights from customer feedback?

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Enterpret

Enterpret is a broad approach that ingests and analyzes customer feedback from social media, sales calls, support tickets and community forums, using adaptive AI models to generate insights and feedback trends. It's geared for product development teams and companies trying to become more customer-centric.

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CustomerIQ

Another good option is CustomerIQ. This AI-based service collects, analyzes and quantifies customer feedback from a variety of sources, including Slack, Hubspot, Zendesk and others. It offers AI-powered highlight extraction and filtering so teams can focus on the most important actions and revenue-generating efforts. CustomerIQ is designed for enterprise-class security and scalability, so it's a good fit for teams that need to handle large volumes of customer feedback.

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Monterey AI

If you want to use advanced AI without having to write any code, Monterey AI is a good option. It can extract insights from sources like user feedback, tickets and transcripts, and offers features like Classify + Triage and Q&A + Analyze. It integrates with more than 6,000 apps and is designed to improve customer satisfaction and product development, so it's good for product managers and customer success teams.

Additional AI Projects

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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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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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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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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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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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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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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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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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Zefi

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

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Insightio

Extracts rich product insights from customer conversations using AI-powered analysis, identifying patterns and prioritizing actionable steps to inform product development.

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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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Qualtrics

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

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Deep Talk

Analyze customer and employee feedback from multiple sources, uncovering sentiment, trends, and patterns to drive business improvements and enhanced satisfaction.

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Medallia

Uncovers critical insights from every interaction, providing a single source of truth for businesses to drive meaningful change and improve experiences.

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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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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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InMoment

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

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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.

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Colors AI

Automates customer feedback collection and analysis, enabling data-driven product development and customer segmentation through real-time trend identification and actionable insights.