Maze

What is Maze?

Maze is an AI-powered platform for product discovery and research. It supports teams across the research workflow with tools to build tests and analyze results, producing customizable, visually rich reports with automated analytics that help teams reach informed decisions faster.

Teams can run Prototype Testing, Live Website Testing, and Feedback Surveys. Maze also simplifies participant recruitment and integrates with tools such as Figma, Sketch, and Amplitude. The platform emphasizes speed, design quality, iteration, data-driven decisions, and keeping the end user at the center of product development.

Research quality is supported by dynamic follow-up questions, contextual suggestions, and bias detection. On security, Maze offers enterprise-level protection: customer data is encrypted in transit, the platform adheres to GDPR, and robust access controls are available. It fits into an existing tech stack without disrupting workflows.

Who created Maze?

Maze was founded on the idea that product design teams need easy access to data during the design process. Its founders believed quick access to data empowers teams to test ideas, learn from them, and act faster. The company values speed, strong design, iteration, and data-backed decisions, and launched with the goal of making research faster, simpler, and more collaborative.

What is Maze used for?

• Automated reports — customizable, visually rich reports with automated analytics.
• Continuous user insights — up-to-date consumer insights for decision-making.
• Testing — Prototype Testing for early designs, Live Website Testing for live products, and Feedback Surveys for gathering opinions.
• Research quality — dynamic follow-up questions, contextual suggestions, and bias detection.
• Analysis — video recording of user sessions, Path Analysis, usability metrics, and heatmaps.
• Participants — efficient recruitment, participant management, and access to a participant panel for quick testing.
• Integrations — connections with Figma, Sketch, Amplitude, and other existing tools.
• Compliance — GDPR adherence and enterprise-level data security.