If you need a platform to automate UX research and get fast, trustworthy data to inform your decisions, WEVO is a strong contender. It marries AI and human judgment to give you fast and trustworthy results, automating the gathering and analysis of feedback from more than 100 people per test. WEVO provides accurate insights, competitor benchmarking, qualitative feedback at scale, and AI-powered analysis that you can share with your team. The platform is geared for UX/CX researchers, marketers, product managers and agencies trying to improve digital products and get fast answers.
Another strong contender is Maze, which lets teams run high-quality product research at large scale across the entire product development process. Its simple builder and AI-boosted tools support a range of research approaches, including prototype testing, website testing, card sorting, surveys and interview studies. Maze also offers automated analytics, usability metrics, research templates and AI tools to optimize survey questions. The company protects data with enterprise-class security and helps you accelerate innovation and time-to-market.
getCurious is a SaaS platform that amplifies both qualitative and quantitative UX research, speeding up the process of gathering feedback on prototypes and validating concepts. With a broad panel of more than 1 million participants, it offers deep qualitative insights and strong quantitative data. The platform's features include 10x faster recruitment and insight generation, automated insights and rich reports, so product teams can run UX research and make data-informed decisions faster.
If you want to focus on qualitative research and data analysis, Marvin uses AI technology to automate tedious work. It houses user interviews, transcripts, notes and other research artifacts so everyone on your team can access them. Marvin features include automated transcription, video clips, automated tagging and integrations with tools like Zoom, Notion and Google Sheets. The platform is good for product designers, researchers and students who need to turn a lot of research data into useful insights.