The method helps clarify observations, needs, and patterns concretely. It groups observations into patterns, questions, and decisions. The result is captured as findability metrics, path analysis, and a revised information architecture.
Tree Testing
Turns observations, needs, and patterns into a tangible result by drafting the tree, writing tasks, and iterating labels and structure.
Can participants find the correct answers in the proposed navigation structure, and which paths lead them astray?
The team follows the steps: draft the tree, write test tasks, run participant tests, check success rates, and iterate labels and structure. Each step is captured visibly. At the end, findability metrics, path analysis, and a revised information architecture are available so decisions, tests, or actions can follow directly.
Visual orientation
Method sketch for a quick mental model.
Flow
- 1Draft tree
- 2Write tasks
- 3Test with participants
- 4Check success rates
- 5Iterate labels and structure
The runsheet guides execution with 5 phases, timeboxes, 5 pitfalls, and clear stop criteria.
Open runsheetIdeal for
- IA validation
- Navigation comparison
- Findability benchmarking
Not good for
- Visual hierarchy feedback
- Open discovery
Deep dive
Tree Testing follows a clear working logic: drafting the tree, writing tasks, running participant tests, checking success rates, and iterating labels and structure. This turns the method into a visible thinking process rather than only a conversation. Participants move step by step from raw material, observations, or options toward a shared structure. As a result, findability metrics, path analysis, and a revised information architecture support decisions, learning, or further planning.
Prepare a clear guiding question, the right information, and a visible workspace. Plan about 1-2 days with 10-30 participants and use the format asynchronously. The facilitation needs notable structure and preparation; short timeboxes, visible intermediate results, and a parking lot for open questions help.
Tree Testing Working TemplateCompact working template for Tree Testing with context, input, output artifacts, and next step.canvas
tree-testing-working-template.md
Compact working template for Tree Testing with context, input, output artifacts, and next step.
Tree Testing Canvas
Context
What is this method used for?
Core question
Which question should be answered at the end?
Input
Which data, observations, or materials are available?
Working area
- Area 1:
- Area 2:
- Area 3:
- Relationships / patterns:
Output artifacts
- Findability Metrics:
- Path Analysis:
- Revised IA:
Open questions
- ...
Next step
Owner, date, success signal.
When to choose differently
Short decision aid for existing alternatives.
Statt Tree Testing, wenn du mit Card Sorting Begriffe offen gruppieren und passende Kategorien aus Nutzersicht finden willst.
Similar methods
All methodsTurns observations, needs, and patterns into a tangible result through preparing cards, choosing open or closed sorting, and refining the IA.
Statt Tree Testing, wenn du mit Card Sorting Begriffe offen gruppieren und passende Kategorien aus Nutzersicht finden willst.
Turns observations, needs, and patterns into a tangible result by defining a task, preparing a screen or wireframe, and adjusting design.
Turns observations, needs, and patterns into a tangible result by selecting tasks, recruiting participants, and prioritizing fixes.
Turns observations, needs, and patterns into a tangible result by defining a research question, building a questionnaire, and analyzing results.
Turns observations, needs, and patterns into a tangible result by clarifying the research question and context, recruiting participants, and synthesizing observations.
Turns observations, needs, and patterns into a tangible result by selecting a journey, mapping phases, and prioritizing opportunities.