Question: Can you recommend a solution that helps collect and manage customer feedback across different touchpoints?

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Enterpret

If you need a system to gather and process customer feedback from multiple touchpoints, Enterpret is worth a look. It aggregates feedback from social media, sales calls, support tickets and community forums using adaptive AI models to understand the feedback. The system comes with a customizable unified feedback taxonomy, semantic search and an analytics suite, which can help you streamline your customer feedback process and spot trends.

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Iterate

Another option is Iterate, a Customer Insights Manager that can be integrated with Airship, Braze and HubSpot. It offers in-app mobile surveys, one-click email surveys and embedded website surveys, as well as an AI-powered Research Assistant to analyze text responses. Iterate's advanced filtering and segmentation tools let businesses dig into customer problems and sentiment, so it's good for customer-centric decision making and better feedback handling.

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CustomerIQ

If you want to go all in on AI, CustomerIQ has native integrations with Slack, Hubspot, Zendesk and other services, as well as a wide range of API connections. The system uses AI to extract highlights, filter and search, so marketing and product teams can process and understand customer data. Team alignment, AI assistant and document editing tools let CustomerIQ scale for enterprise-class security and performance, and it's a good option for those who want to streamline customer feedback analysis and turn it into revenue through data-driven insights.

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Olvy

Last, Olvy is a user feedback management system geared for product teams that want to collect, analyze and prioritize customer feedback from Slack, Discord, Twitter and other sources. It can generate AI summaries, thematic analysis and sentiment analysis for large volumes of feedback data. Olvy has a centralized feedback management system and integrates with ClickUp, Linear, Jira and Zendesk, so product teams can make data-driven decisions and build products that customers love.

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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ClientZen

Automates customer feedback analysis across the customer journey, providing actionable insights to improve satisfaction, loyalty, and business success.

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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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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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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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Zefi

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

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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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Feedback Rivers

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

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zenloop

Automates customer feedback analysis, identifying key drivers of satisfaction and dissatisfaction, and triggering targeted actions to improve customer experiences.

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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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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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Kraftful

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

Capture feedback at key moments to understand what drives loyalty and improve customer experience.

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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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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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Collectif

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

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LoopedIn

Gather customer feedback, build transparent roadmaps, and announce updates to reduce churn and improve communication through a unified, integrated platform.