Question: I need a solution that integrates customer feedback and requests into my product development process, can you suggest one?

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Productboard

If you're looking for a tool to incorporate customer feedback into your product development process, Productboard is a broad tool. It uses AI to help teams build products that meet customers' needs faster, with features like collaborative roadmapping, validated customer insights and data-driven prioritization. It integrates with a range of tools like Jira, Zendesk and Slack, so it's good for product management, operations and engineering teams.

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Cardinal

Another good option is Cardinal, an AI-powered feature backlog tool that collects customer feedback from multiple sources and uses AI to spot feature requests. It matches those requests to actual features and projects so teams can prioritize based on customer value and business impact. Cardinal integrates with Salesforce, HubSpot and Zendesk, and offers features like revenue KPI calculation and task management integration.

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Canny

Canny is a customer feedback tool that collects, analyzes and prioritizes feedback to inform product roadmaps. It can ingest feedback from Autopilot and other customer support tools, and offers AI-powered features like Feedback Discovery and Smart Replies. Canny lets you set your own scoring formula and integrates with project management tools like Jira or Asana, so it's good for teams of any size.

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CustomerIQ

If you want a more integrated approach, CustomerIQ collects, analyzes and quantifies customer feedback from multiple sources. It offers AI-powered highlight extraction and filtering, and integrates with tools like Slack, Hubspot and Zendesk. CustomerIQ is good for marketing and product teams that want to streamline customer feedback analysis and drive revenue with data-driven insights.

Additional AI Projects

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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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Enterpret

Aggregate customer feedback from multiple sources, analyze with adaptive AI models, and uncover actionable insights to inform product development decisions.

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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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Squad

Combines business outcomes, customer feedback, and analytics to create outcome-based roadmaps, providing actionable insights and aligning teams on key tasks.

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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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Aha!

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

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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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Prodeology

Streamlines product development with AI-driven prioritization, customizable roadmaps, and customer feedback integration for data-driven decision-making.

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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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ProdPad

Leverage AI assistance to enhance product management, from idea generation to description writing, and receive coaching to drive informed 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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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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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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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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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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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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Zefi

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

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Eververse

Accelerate product development with AI-driven feedback analysis, writing assistance, and predictive prioritization, streamlining the product development process.

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airfocus

Streamline product management with a flexible platform that prioritizes, aligns, and delivers products successfully, leveraging AI-driven tools for objective setting and feedback analysis.

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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.