Maze

Maze is an end-to-end user research and testing platform designed to empower researchers, designers, and product managers to conduct studies efficiently and turn insights into actionable clarity. In a fast-paced world, Maze helps teams not just keep up with change but actively shape it by providing tools for every stage of the research process.

Key Features:

• Participant Recruitment: Effortlessly reach the right people with access to Maze's panel of over 6 million participants or connect with your own community. The platform handles precise targeting and scheduling, allowing teams to focus on asking smarter questions. Features include a research panel, in-product prompts, and comprehensive participant management.
• Study Building & Research: Empower more team members to run diverse studies. Maze supports a wide array of qualitative and quantitative research methods, including:
  • AI Moderator (New): Automates moderation for certain study types, cutting down on manual effort.
  • Prototype Testing: Test designs and prototypes from tools like Figma.
  • Moderated Interviews: Conduct one-on-one interviews.
  • Surveys: Gather quantitative feedback at scale.
  • Live Website Testing & Mobile Testing: Evaluate user experience directly on live products.
  • Card Sorting & Tree Testing: Understand information architecture and content organization.
• Analysis & Learning: Gain clarity and influence key decisions with evidence-backed insights.
  • Automated Reports: Generate comprehensive reports that highlight relevant clips, statistics, and user stories, making research findings easy to share and act on.
  • Maze AI: Leverage research-grade AI to cut through noise, surface patterns, and summarize findings, reducing busywork and allowing more focus on strategy.
  • Video Clips & AI Transcripts: Capture and analyze user interactions with video recordings and automatically generated transcripts.
  • Easily Embeddable Results: Integrate research findings directly into other tools like Notion.

Use Cases: Maze is versatile, supporting various use cases such as:

• Concept Validation: Validate new ideas and concepts early in the development cycle.
• Usability Testing: Identify pain points and optimize user flows in wireframes and prototypes.
• Copy Feedback: Test and refine content and messaging.
• User Satisfaction: Measure and improve overall user satisfaction.

Target Users: The platform is built for:

• User Researchers: To conduct in-depth studies and manage participants efficiently.
• Product Designers: To test prototypes and gather design feedback.
• Product Managers: To make data-driven decisions and understand user needs.

Unique Selling Points: Maze stands out by offering:

• Versatility: Run any kind of study and reach a vast audience.
• Scale: Make research a shared capability across teams, removing bottlenecks.
• Influence: Centralize findings and create impactful reports that drive decisions.
• AI Amplification: Automate tedious tasks with AI, freeing up time for strategic work.