Maze

Maze is a continuous product discovery platform whose AI analyzes user research, tests prototypes and surfaces insights at scale.

Overview

Maze lets teams run usability tests, surveys and interviews, then uses AI to synthesize the results into themes and reports. Its AI reports cluster open-text feedback, summarize interview transcripts and highlight what matters to stakeholders. Prototype tests integrate with Figma so design validation fits the existing workflow. Product teams use Maze to make user research a weekly habit rather than a quarterly project.

Key Features

• AI-powered analysis of interviews, surveys and usability tests
• Automated theme clustering and insight summaries
• Figma prototype testing with metrics on task success and misclicks
• Participant recruitment panel integrated in the platform
• Collaborative research repository with searchable insights
• Stakeholder-ready reports generated automatically

Pricing

Maze offers a free plan with limited studies; paid plans add AI features, advanced testing and team collaboration options.

Who Is It For

Product designers, researchers and product managers who need continuous user feedback without research bottlenecks.

FAQ

Is Maze free to use?

Yes, a free plan exists; AI analysis and higher study limits require paid plans.

Does Maze offer an API?

Yes. Maze provides integrations and APIs for connecting research data with product tools.

How does Maze compare to alternatives?

Maze covers the full loop from test design to AI synthesis, where survey tools stop at raw response collection.

Practical Use Cases

Product teams test Figma prototypes with recruited participants and get AI-clustered feedback themes within hours. Researchers run continuous discovery programs with weekly micro-tests. PMs share auto-generated insight reports with stakeholders who skip raw data. Teams build a searchable research repository as studies accumulate.

Limitations & Alternatives

Participant quality varies with the panel, and advanced testing needs paid plans. Quant-heavy programs may need complementary analytics. UserTesting, Lookback and Dovetail compete in user research platforms.

Integrations & Deployment

Maze integrates with Figma, Sketch and Adobe XD for prototype testing, and with collaboration tools for sharing insights. Recruitment panels supply participants, or teams test their own users. AI analysis runs on collected responses, generating reports in-platform. Workspace setup covers study templates, permissions and research repositories. Ongoing operations manage participant budgets, maintain research libraries and feed insights into product planning cycles.

Bottom Line

Maze turns user research from a periodic project into a continuous habit, and its AI synthesis saves hours per study. Participant quality varies, and advanced features cost extra. Product teams committed to discovery will get strong returns.