Question: Can you recommend a tool that helps analyze customer feedback from video and audio recordings to identify key themes and insights?

If you need a tool to analyze customer feedback from video and audio recordings, Dovetail is a top contender. It can synthesize feedback from many sources and has features like theme detection, pattern detection, and video call summarization. Dovetail also integrates with tools like Slack, Confluence and Jira and has enterprise-class security. That makes it a good fit for big businesses that want to make data-driven decisions and improve customer satisfaction.

Another good option is Insight7, which can handle video, audio and text. It lets you define categories for insights, use prebuilt templates, and compare transcripts in groups. Insight7 is designed to reduce bias and protect privacy with enterprise-class security. It's geared for sales, marketing and consulting professionals who need to process lots of interview data as quickly as possible.

If you want to go more AI-heavy, User Evaluation has powerful transcription for more than 57 languages and can generate AI insights. It can consume data from many sources and has detailed audio and video player controls. It's geared for researchers, product managers and others doing customer research and UX work.

Last, Marvin offers automated transcription in more than 40 languages and a central repository for storing and organizing user interviews and research artifacts. Marvin features include automated tagging and analysis, privacy filters, and integration with Zoom and Google Sheets. It's good for product designers, researchers and students doing UX research. Each of these platforms has its own strengths, but they all can help you extract useful information from customer feedback.