Production-ready Next.js financial reporting frontend with statements that reconcile to the cent
Free tree testing tool for testing information architecture
Stage
Not given
Established
Founded
Not given
2021
Based in
NP
Not given
Pricing model
Not given
Free
Pricing
Standard licence $149 (founding price, regular $249) for products where end users do not pay; Extended licence $479 (founding price, regular $799) for products you charge end users for. Both one-time purchase, full source code included, six months of support. Founding price is 40% off for the first
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
Drill-down from any number or chart segment to underlying ledger entries
Full TypeScript source code with 355 automated tests
Runtime theming, dark mode, mobile card layouts, and 17 feature flags
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
Statements that reconcile to the cent with full ledger drill-down, built on accounting principles not mock-ups
One-time licence with full source code, no per-viewer fees or licence server
Ready to deploy in a week: embed inside your product, rebrand in under an hour
Built for production: production-ready Next.js, strict TypeScript, 355 tests, server-enforced permissions
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