Free tree testing tool for testing information architecture
Stage
Not given
Established
Founded
Not given
2021
Based in
Not given
Not given
Pricing model
Freemium
Free
Pricing
Free: €0 forever for one design system with tokens, components, assets, MCP endpoint, Figma import and sync, live documentation site, and drift checks inside the app. Studio: €15 per seat per month with up to 5 design systems, 10 contexts and API keys, 3 connected repositories, enforcement on every
Free for unlimited tree testing and card sorting studies, unlimited participants and responses, and full analysis. Participant recruitment through UXbeam's panel starts at $1 per participant-minute.
Key features
Reads Figma variables and styles plus repository code to build one clear picture of your design system
Serves design system to Claude Code, Cursor and Copilot through secure MCP connection
Generates editor rule files automatically
Live documentation with auto-synced token blocks
Source code never leaves your repository
Separate space and connection for each design system or client
Configurable rule strictness with errors blocking merges and warnings letting them through
Multiple connected repositories and contexts per plan
Unlimited tree-testing studies and participants
Leading-task detection to catch biased wording
Path replay visualization of participant navigation
Task outcome breakdown into direct, indirect, and elsewhere
Full-scenario completion tracking across multiple tasks
Mobile-compatible participant experience
Integrated card sorting with tree testing workflow
Multiple valid destinations per task
Iterative testing with versioned results
Complete CSV export of participant-level results
What makes it different
Reconciles Figma design files with actual repository code into one unified source of truth
Ranks tokens by actual usage instead of showing raw Figma values
Catches design system mismatches before code merges, not just in reviews
Works through MCP protocol so compatible with multiple AI tools not just one
No credit card required and truly unlimited at no cost
Built-in methodological safeguards prevent common research mistakes
One-screen setup lets researchers create tests in minutes
Mental Model Detection identifies competing ways different user groups organize content
AI-assisted participant recruitment with audience targeting