Maze

Maze is a user research and testing platform that helps teams collect and analyze feedback from real users. It covers the full research workflow: recruiting participants, running studies (prototype tests, surveys, card sorting, tree testing, moderated interviews), and analyzing results. The platform includes an AI study builder that speeds up study creation, AI-powered theme analysis to spot patterns in open-ended responses, and automated reports that summarize findings. You can test prototypes from Figma, Sketch, or Adobe XD, as well as live websites and mobile apps. Maze also offers a built-in participant panel of over 6 million people, so you can find the right testers without managing logistics yourself.

What makes Maze stand out is how it combines multiple research methods into one tool. Instead of juggling separate apps for surveys, usability tests, and interviews, you do everything in Maze. The AI features are practical: the AI study builder suggests questions and structures based on your goals, AI transcripts turn interview recordings into searchable text, and AI-powered themes automatically group similar feedback. For moderated interviews, you can record sessions and get highlight clips. The platform also handles participant management, scheduling, and screener questions. Security features include encrypted data transmission, SSO, role-based access, and GDPR compliance.

Maze is built for product teams — UX researchers, designers, and product managers — who need to make decisions backed by evidence. It's useful for startups running quick concept tests and for enterprises conducting large-scale studies across multiple teams. Common use cases include validating prototypes before development, measuring information architecture with tree testing, gathering customer satisfaction data via surveys, and running remote usability tests with participants around the world. The platform aims to reduce the time between asking a research question and getting an answer.