Question: How can I get feedback from potential customers to inform my product development?

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Kraftful

If you want to get some feedback from prospects to help you build your product, Kraftful is a powerful option. This AI-powered service ingests and analyzes feedback from reviews, surveys, calls and support tickets, and comes with features like feedback synthesis, sentiment analysis and project management to help you make decisions and get to market faster.

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Fibery

Another good option is Fibery, a tool that marries market signals and customer feedback for product decisions. It can pull in feedback from email, Intercom, Zendesk and social media, and offers AI-powered insights and customizable prioritization tools. Fibery also integrates with Jira and Trello, among other productivity tools, so it's a good option for product teams.

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Enterpret

If you want a more centralized feedback system, Enterpret offers adaptive AI models to extract insights from a variety of data sources, including social media and support tickets. It's geared for product development teams that want to streamline feedback, get more accurate insights and prioritize features based on customer needs.

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CustomerIQ

Last, CustomerIQ is an AI-powered service that aggregates, analyzes and quantifies customer feedback from multiple sources. It includes features like AI-driven highlight extraction and filtering to help you find feature requests and prioritize actions to drive revenue. With native integrations with Slack and Hubspot, CustomerIQ can help you manage and analyze feedback in marketing and product teams.

Additional AI Projects

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Cardinal

Combines customer feedback, CRM data, and task management tickets to prioritize features based on customer value, business impact, and revenue potential.

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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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Productboard

Automate product development with AI-driven tools, aligning teams with customer needs and streamlining roadmapping, prioritization, and product planning.

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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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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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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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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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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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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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Collectif

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

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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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Zeda

Centralize customer feedback, gain actionable insights, and create revenue-driven roadmaps with AI-powered product management tools, driving data-driven decisions and business growth.

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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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Zefi

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

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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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Feedback Rivers

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

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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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Leanbe

Gather customer and team feedback, validate ideas, and prioritize a product roadmap based on real customer needs, cutting down on biased decision-making.

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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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Aha!

Aha! offers a complete product management solution for efficient development and delivery.