Question: I need a tool that can help me gather user feedback quickly and efficiently, without having to schedule calls or meetings.

Anecdote screenshot thumbnail

Anecdote

If you want a system to quickly and automatically gather user feedback without scheduling calls or meetings, Anecdote is a good option. It offers real-time insights by monitoring feedback from a variety of sources, including App Store reviews, support messages and social media. Anecdote's own Natural Language Processing Engine can spot bugs and sentiment patterns, and it can integrate with more than 65 feedback sources, including Slack. It offers features like bug analysis, automated AI tagging and customizable alerts that can help you cut the time spent on ticket tagging and bug resolution.

Olvy screenshot thumbnail

Olvy

Another option is Olvy, a user feedback management system for product teams. Olvy collects and analyzes feedback from multiple channels like Slack, Discord and Twitter. It offers AI-generated summaries, thematic analysis and sentiment analysis to help you process lots of feedback data. Olvy centralizes feedback management and offers actionable insights to help teams make data-driven decisions and create customer-centric products.

Sauce screenshot thumbnail

Sauce

Sauce is another AI-powered system that automates the collection and analysis of customer feedback, offering insights in five minutes or less. It uses sophisticated AI clustering technology to spot important feedback trends and can handle multiple feedback sources like Slack, Intercom and Zendesk. Sauce can help you improve product adoption, lower churn and improve customer satisfaction by quickly spotting important issues.

Dovetail screenshot thumbnail

Dovetail

For those who want a flexible system, Dovetail pulls customer feedback from multiple sources into one system. It can turn feedback into actionable insights by surfacing themes and unmet needs. Dovetail can integrate with tools like Slack, Confluence and Jira, and has strong security controls. It's a good fit for large companies that want to make data-driven decisions and improve customer satisfaction.

Additional AI Projects

AskMore screenshot thumbnail

AskMore

Conduct user interviews and product research at scale, gathering more feedback faster and in any language, with automated reporting and flexibility.

CustomerIQ screenshot thumbnail

CustomerIQ

Automatically extracts and analyzes customer feedback from multiple sources, providing actionable insights to drive revenue and inform product decisions.

Enterpret screenshot thumbnail

Enterpret

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

Canny screenshot thumbnail

Canny

Centralize customer feedback, analyze and prioritize requests, and create public or private roadmaps to build a better product roadmap, all in one place.

Collectif screenshot thumbnail

Collectif

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

Cycle screenshot thumbnail

Cycle

Capture product feedback from multiple sources, automate insights with AI, and collaborate on customer-driven roadmaps in a streamlined workflow.

Iterate screenshot thumbnail

Iterate

Unifies customer insights across teams, providing a single platform for gathering and analyzing feedback to inform customer-centric decision making.

Kraftful screenshot thumbnail

Kraftful

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

Fibery screenshot thumbnail

Fibery

Unify customer feedback from multiple sources, and use AI to identify key insights, prioritize development, and inform data-driven product decisions.

Sprig screenshot thumbnail

Sprig

Uncover user feedback trends, make data-driven product decisions, and improve user experience with AI-powered surveys, replays, and feedback analysis.

Qualli screenshot thumbnail

Qualli

Automates feedback collection, sentiment analysis, and tagging, providing a centralized platform for real-time user insights and informed decision-making.

Hellooo screenshot thumbnail

Hellooo

Analyze user interviews in minutes, generating insights, transcripts, and emotional analysis to inform product development and streamline user research.

Feedback Rivers screenshot thumbnail

Feedback Rivers

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

Medallia screenshot thumbnail

Medallia

Uses machine learning to extract key insights from every interaction, spotting trends and prioritizing actions to drive customer loyalty and employee engagement.

Monterey AI screenshot thumbnail

Monterey AI

Automates collection, analysis, and action on customer feedback from various data sources, enabling data-driven decisions and optimized product development.

Insight7 screenshot thumbnail

Insight7

Automatically analyzes groups of interviews in various formats to deliver actionable insights, supporting high-quality decisions in research and business teams.

Gleap screenshot thumbnail

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.

Voicepanel screenshot thumbnail

Voicepanel

Automates qualitative research with AI-moderated interviews, instant recruitment, and language translation, providing rich customer insights at a lower cost and faster pace.

MistlyAI screenshot thumbnail

MistlyAI

Automatically discovers, logs, and summarizes product feedback from multiple sources, enabling teams to build better products faster with actionable insights.

User Evaluation screenshot thumbnail

User Evaluation

Transform customer data into strategic assets with AI-powered analysis tools, unlocking insights faster and more easily through robust transcription, AI insights, and multimodal chat.