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 for all core features. Pro Lifetime: $19 USD one-time payment for premium backgrounds, premium fonts, watermark-free exports, and 4x PNG exports.
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
20+ draggable widgets including stats, heatmaps, streaks, and language cards
GitHub stats cards, contribution heatmaps, commit streaks, language and stack snapshots, top languages cards, top repositories, and star history
Real-time data from GitHub with automatic caching
SVG and PNG export
Canvas editor with drag-and-drop interface
Global theme settings for background and typography
Stable published links that never change
Sign in with GitHub to save and manage designs
Profile card and repository card types
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
Single link replaces multiple embeds and services in README files
Unified visual system keeps profile, repository, and stats pieces cohesive
Fewer dependencies and automatic updates reduce maintenance overhead
One canvas handles layout, data, and widgets instead of splitting across tools
One-time $19 payment with no subscription required
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