Question: I need a tool to help me make sense of customer feedback and survey responses, can you suggest something?

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Anecdote

If you're looking for a tool to help you make sense of customer feedback and survey responses, Anecdote is a good choice. This customer feedback analytics service monitors and analyzes feedback from multiple sources, including App Store reviews, support tickets, surveys and social media, and uses Natural Language Processing technology to spot sentiment trends and areas for improvement. It can integrate with more than 65 sources of feedback. Anecdote can help you reduce churn, support ticket volume and time to resolve bugs, and is geared for global customer-centric teams.

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MonkeyLearn

Another tool worth considering is MonkeyLearn, a no-code text analytics service that lets you process customer feedback with artificial intelligence technology. MonkeyLearn lets you clean, label and visualize customer feedback, and offers customizable charts and other visualizations to get quick answers. It can integrate with popular apps including Zendesk, Freshdesk and SurveyMonkey. MonkeyLearn also can use prebuilt and custom machine learning models to classify text and extract data, so you can automate text analysis and take control of your data.

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CustomerIQ

CustomerIQ is an AI-powered platform for marketing and product teams that aggregates and analyzes customer feedback from multiple sources. It includes AI-powered highlight extraction, filtering and search, so teams can understand customer data, spot feature requests and take action. With integrations with Slack, Hubspot and others, and a range of security and scalability features, CustomerIQ is geared for teams that want to get a handle on customer feedback analysis and make money by turning it into data-driven insights.

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Enterpret

If you want a centralized, organized way to handle customer feedback, Enterpret offers an information retrieval system that uses adaptive AI models to dig into feedback from multiple sources. It offers detailed information to help product teams grow products and has a custom unified feedback taxonomy and powerful semantic search. Enterpret is geared for product development teams and customer experience professionals trying to become more customer-centric.

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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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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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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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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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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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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Collectif

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

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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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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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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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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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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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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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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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SurveySparrow

Engage customers in real-time, gather intelligent insights, and take data-driven actions with AI-powered conversational surveys and automations.

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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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Featurebase

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