Treejack

What Is Treejack?

Treejack is a paid UX tool from Optimal Workshop designed for tree testing, a method to evaluate the findability of content within a website or app's information architecture (IA). It enables UX researchers and designers to simulate navigation structures using text-only trees, helping identify issues in how users locate topics or features. Treejack fits into the early stages of the design workflow, particularly after card sorting or when validating site maps, menu hierarchies, or updates to existing navigation before full prototypes or live implementations.

What Treejack Does

• Creates text-only tree structures from scratch or by importing CSV files to represent website menus and hierarchies.
• Defines tasks based on real user scenarios for testers to navigate the tree and locate specific items.
• Conducts unmoderated remote tree tests where participants select paths without visual distractions from design elements.
• Generates automatic analysis including first-click data, success rates, time on task, and navigation paths.
• Provides visualizations such as graphic reports and heatmaps to interpret user behavior and pain points.
• Supports benchmarking by comparing test results over time to measure improvements in IA.

How Treejack Can Be Used

Treejack supports practical workflows in UX research by allowing teams to test navigation efficiency at key project phases. Designers use it post-card sorting to validate proposed IA structures, ensuring categories and labels align with user expectations. For existing sites, it identifies content misplacement after redesigns or new feature additions, revealing where users struggle or take indirect paths. In scenarios like e-commerce navigation testing, tasks simulate user goals such as finding tickets or products, with results highlighting logical groupings and label clarity. Teams run A/B comparisons on revised trees to confirm enhancements before development, streamlining iterations without building prototypes.

Who Is Treejack For?

Treejack serves UX researchers, information architects, and product designers working on website or app navigation. It suits teams handling complex IA for enterprise sites, where validating findability prevents user frustration, as well as smaller projects needing quick unmoderated insights. Experience levels range from mid-level UX professionals familiar with research methods to advanced users managing large participant studies, though it requires some learning for non-technical roles. Projects involving menu optimization, content reorganization, or post-update validation benefit most from its focused tree testing capabilities. Visit Treejack