If you're looking for a UX research tool that uses AI to process data and extract insights, Looppanel is a top contender. It uses AI to analyze qualitative research, with features like AI-generated notes, live note-taking and the ability to export video clips for sharing. Looppanel is geared for researchers, product teams and enterprise customers, with data security through SOC2 Type II and GDPR compliance. That means it's a good option for anyone who needs to automate research processes and collaborate better.
Another top contender is WEVO, which marries AI with human expertise to provide quick and accurate insights. WEVO automatically gathers and analyzes feedback from more than 100 users per test, then generates reports that can be shared with colleagues. It also offers competitor benchmarking, large-scale qualitative feedback and visual reports, making it a good option for UX/CX researchers, marketers and product managers trying to improve digital experiences.
Marvin is another tool that automates tedious parts of qualitative research with AI technology. It houses a single repository for storing and organizing user interviews, transcripts and notes, with features like automated transcription in more than 40 languages, automated tagging and analysis, and integrations with tools like Zoom and Google Sheets. It's good for product designers, researchers and students who want to turn a lot of data into useful information.