AI-native user research and product testing platform
Maze is a strong choice for product teams that want to run frequent, self-serve usability and concept tests without a dedicated research team. Its AI features and built-in panel recruitment are real time-savers, but costs add up: paid seats start around $99 per month, advanced AI and moderation features are gated to higher tiers, and panel participants are billed separately as credits. Buyers should model total cost including recruitment, not just the seat price.
Maze is an AI-native user research platform for running prototype tests, usability studies, surveys, and interviews at speed. Maze AI assists with question design, moderation, and analysis, and a built-in panel handles participant recruitment, making it well suited to product teams doing continuous discovery.
Maze is a product research platform designed to make user testing fast and continuous rather than a heavyweight, occasional activity. Teams use it to run prototype tests, usability studies, card sorts, surveys, and live interviews, then analyze the results with automated metrics and reports. The platform's Maze AI layer helps at multiple stages: drafting and rephrasing questions, moderating sessions, and summarizing findings. A distinguishing feature is Maze's built-in participant recruitment. Teams can tap a panel to source testers, paying per participant through credit bundles, which removes a common bottleneck in running studies. Maze integrates with design tools so teams can test prototypes directly, and it produces shareable reports intended for product, design, and marketing stakeholders. Maze targets product teams that want to democratize research and gather evidence quickly during the design and build process. It sits between lightweight survey tools and heavier enterprise research suites, emphasizing speed, self-serve setup, and quantified usability metrics.
Maze is an AI-native product research platform for running usability tests, surveys, and interviews quickly and continuously. Maze AI helps design questions, moderate, and analyze results, and a built-in panel handles recruitment. It suits product teams doing ongoing discovery. Pricing starts around $99 per month per the Starter tier, with recruitment billed separately.
Maze is a user research and product testing company that positions itself as an AI-native platform for continuous discovery. It serves product, design, and marketing teams across startups and enterprises.
The company has raised about $60 million in total, including a $40 million Series B in June 2022 led by Felicis, with participation from Emergence, Amplify, Partech, Seedcamp, and strategic investors Atlassian Ventures, Zoom Ventures, and HubSpot Ventures.
Maze supports prototype testing, usability studies, card sorts, surveys, and live interviews, with automated usability metrics and shareable reports. Maze AI assists with question writing, moderation on higher tiers, and result synthesis.
A built-in participant panel lets teams recruit testers, billed through credits. Integrations with design tools such as Figma allow prototype testing within studies.
Product, design, and marketing teams, from startups to enterprises, that want to run frequent, self-serve research without relying solely on a dedicated research team.
Product managers, designers, and researchers who create and run studies.
Heads of product, design, or research who own tooling budgets.
Design and product operations leads, and marketing teams that use test results.
A product-led organization practicing continuous discovery that wants fast, self-serve testing and integrated participant recruitment.
Maze has raised approximately $60 million in total. Its $40 million Series B in June 2022 was led by Felicis, with participation from Emergence, Amplify, Partech, Seedcamp, and strategic investors including Atlassian Ventures, Zoom Ventures, and HubSpot Ventures.
Yes. Maze offers a free plan with a limited number of studies per month and seats, which is useful for trying the platform before upgrading.
Maze AI refers to the platform's AI features, including help drafting and rephrasing questions, AI moderation of sessions on higher tiers, and automated synthesis of results.
Yes. Maze includes access to a participant panel. Recruitment is billed separately from your subscription through participant credits.
Yes. Maze integrates with design tools including Figma so you can test prototypes directly within a study.
Maze is strongest for unmoderated testing and quantified usability metrics. It supports interviews, but teams needing deep, long-form qualitative programs may want a dedicated research repository alongside it.
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