Question: How can I gather feedback from customers and measure satisfaction in a scalable way?

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Qualtrics

If you need a scalable way to survey customers and measure satisfaction, Qualtrics is a powerful option. The experience management platform uses AI to offer insights from customer, employee and market research. It comes with suites for customer and employee experiences, as well as tools like Conversational Feedback, Text Analytics Insights and Manager Assist. With a wealth of compliance and governance controls, Qualtrics can help companies push their businesses forward by turning data into personalized experiences.

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CustomerIQ

Another good option is CustomerIQ, an AI-based tool geared for marketing and product teams. It can collect and analyze customer feedback from many sources and integrate with tools like Slack and Hubspot. CustomerIQ uses AI to extract highlights and filter feedback, so teams can spot requests for new features and take action. Its enterprise-level security and scalability means it can handle large teams that want to streamline feedback analysis and get data-driven insights.

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ClientZen

ClientZen is another good option, automating the processing, analysis and monitoring of customer feedback from start to finish. It offers insights to improve product development and customer satisfaction. Among its features are AI-based data cleaning and auto-tagging, real-time impact tracking and advanced segmentation. ClientZen also integrates with popular customer voice tools and offers flexible pricing options for a cost-effective and feature-rich option.

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Enterpret

For those who want to centralize feedback and analyze it with adaptive AI models, Enterpret is a good option. It combines feedback from social media, sales calls and other sources, offering detailed insights to help product teams prioritize their work. Integrations with various feedback channels and enterprise-level security means Enterpret is a good choice for product development teams and customer experience professionals trying to become more customer-centric.

Additional AI Projects

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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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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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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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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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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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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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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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Zefi

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

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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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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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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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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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Collectif

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

Analyze customer feedback and competitor reviews from multiple sources to inform product roadmaps and marketing strategies with actionable insights.

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Verint

Modular, future-proof platform integrates multiple AI models to enhance customer engagement and business results, with flexible architecture for seamless integration.

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Pulse Insights

Delivers nuanced customer insights through contextual microsurveys, omnichannel collection, and AI-driven analysis, enabling data-driven actions and personalized experiences.

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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.