Maze
AI-powered product research platform for usability testing, prototype validation, and user surveys - used by teams at Figma, Dropbox, and IBM.
Maze is a continuous product discovery platform that helps product and design teams run usability tests, prototype validations, card sorting exercises, and user surveys with real participants - and uses AI to analyze results and surface actionable insights faster than manual analysis. Teams connect Figma, InVision, or Marvel prototypes to Maze, set up task scenarios, and recruit participants through Maze Panel or their own user base. The AI analysis layer identifies usability patterns, misclick areas, and sentiment trends across responses, producing a shareable report with statistical summaries that would otherwise require hours of manual coding. Used by product teams at Figma, Dropbox, IBM, and Uber, Maze operates on a freemium model with paid plans starting around $99 per month.
Key Features
- Figma prototype integration - test clickable prototypes with real participants without exporting or coding
- AI insight generation - analyzes usability test results and produces a natural-language findings summary automatically
- Heatmaps and misclick tracking showing exactly where participants went wrong in prototype flows
- Card sorting and tree testing for information architecture validation alongside prototype testing
- Maze Panel - built-in participant recruitment panel for sourcing testers by demographic and job title
- Survey blocks for mixing quantitative questions with task-based usability testing in one study
Use Cases
- Product designers validating Figma prototype flows before development starts to catch navigation issues early
- UX researchers running unmoderated usability studies with external participants at scale without scheduling sessions
- Product managers gathering task success rate data to prioritize UX improvements with quantitative evidence
- Design agencies proving design decisions to clients with structured usability data rather than opinions
Pros
- Figma prototype integration makes launching a usability study a minutes-long task rather than a multi-day setup
- AI insight analysis reduces manual result coding from hours to minutes for studies with large participant counts
- Enterprise customer list - Figma, Dropbox, IBM - validates reliability for complex research workflows
Cons
- Paid plan at $99/month places the tool out of range for individual freelancers and very small design teams
- Unmoderated testing cannot capture the nuanced verbal reasoning that moderated user interviews reveal
- Participant panel quality varies by demographic - niche B2B audiences can be hard to recruit at meaningful scale
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