Maze

Maze is a user research platform that brings participant recruitment, study design, and analysis into a single workflow. It supports qualitative and quantitative methods including surveys, prototype testing, card sorting, tree testing, and moderated interviews, helping teams test ideas, prototypes, messaging, customer needs, and market opportunities. AI assists with study building, transcription, and analysis, while automated reports and an MCP server expose findings to the tools teams already use.

Core capabilities include the Maze panel and in-product prompts for recruitment, screener questions, and B2B or B2C participant targeting. Research modules cover moderated interviews, an AI moderator, prototype testing, live website testing, mobile testing, card sorting, tree testing, and surveys, with AI follow-up questions, shared templates, and an AI study builder. Analysis features include automated reports, AI-powered themes, video clips, interview highlights, transcripts, and shareable or embeddable results. Integrations span Figma, FigJam, Miro, Notion, Slack, Zoom, Google Meet, Microsoft Teams, Amplitude, Atlassian, and MCP connections to Claude, ChatGPT, Copilot, and Cursor.

Maze is aimed at research, product, and design teams that need to run studies continuously and bring evidence into decisions. The platform offers a free plan, a demo option, and pricing tiers; the pages reviewed do not specify seat-based or usage-based packaging.