Maze is an end-to-end product research platform designed to help teams turn research into actionable insights at scale. Built for researchers, designers, and product managers, Maze empowers teams to move faster by integrating research into the product development lifecycle, ensuring that design and product decisions are driven by real user data.

The platform centralizes various research methods, from prototype testing and moderated interviews to surveys and live website testing. By leveraging research-grade AI and an intuitive workflow, Maze allows organizations of all sizes, from startups to large enterprises, to reduce the time spent on manual research tasks and focus on shaping better user experiences.

Maze streamlines the entire research process by offering tools to recruit participants, conduct various types of studies (including prototype, website, and mobile testing), and analyze results through automated, AI-powered reports. It bridges the gap between design tools and user insights, allowing teams to test early, iterate quickly, and share evidence-backed findings across their organization.

Some of the key features are:

• AI Moderator: An AI-driven research assistant that helps conduct moderated interviews and analyze sessions more efficiently.
• Prototype Testing: Seamless integration with design tools like Figma to conduct usability testing on high-fidelity designs.
• Maze Panel: Access to a diverse pool of over 6 million participants, enabling fast recruitment across global markets.
• Automated Reporting: Automatically generates visual insights, transcripts, and thematic analysis from research sessions.
• In-Product Prompts: Triggers research engagement directly within your live product to gather real-time user feedback.
• Interview Studies: A dedicated environment to host, record, and analyze one-on-one moderated interviews.
• Collaboration Tools: Easy sharing and embedding of results into third-party tools like Jira, Notion, and Slack.

To use Maze, teams typically start by creating a study using one of the many available templates or building one from scratch. Once the study is defined, researchers can recruit participants either from the built-in Maze Panel or by sharing a link with their own user base. After users complete the tests, the platform automatically processes the data, generating reports that highlight key metrics, user paths, and sentiment. Insights can then be shared through automated reports or embedded directly into team documentation for stakeholder visibility.

Some common use cases include:

• Concept Validation: Using surveys and prototype tests to validate new ideas and features before committing to full development.
• Usability Testing: Observing how users interact with designs to identify friction points and optimize navigation.
• Copy Testing: Testing content and messaging variations to determine which copy resonates best with target users.
• User Satisfaction: Measuring NPS or CSAT regularly via in-product prompts to maintain a continuous pulse on user sentiment.