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Drawdy vs UXbeam

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Drawdy compared with UXbeam
DetailDrawdy logo Drawdy UXbeam
What it doesThe whiteboard for you, your team and your AI Free tree testing tool for testing information architecture
StageNot given Established
FoundedNot given 2021
Based inNot given Not given
Pricing modelFreemium Free
PricingFree: unlimited local boards and 3 cloud boards, no card required. Pro: $6.99 per month or $69.99 per year (about 17% less than twelve monthly payments), first month free. 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
  • MCP server for Claude, ChatGPT and other AI apps
  • Real-time collaboration
  • Infinite canvas with hand-drawn feel
  • Local-first storage with optional cloud sync
  • End-to-end encrypted snapshot links
  • Sketched-shape recognition
  • Lasso selection
  • Presentation mode
  • Version history
  • Extensible with marketplace extensions
  • 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
  • AI integration with your own AI via MCP, not built-in
  • Local-first architecture keeps your data on your device by default
  • Extensible platform with marketplace and custom extensions
  • Hand-drawn aesthetic on infinite canvas
  • 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
Community votes00
DR (Domain Rating by Ahrefs)5 −1 (down) since last check35 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1916
Referring domains (Majestic)102

5 details filled in for both companies.

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