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.
