methodatlas
UX Research

Tree Testing

Turns observations, needs, and patterns into a tangible result by drafting the tree, writing tasks, and iterating labels and structure.

Core question
Can participants find the correct answers in the proposed navigation structure, and which paths lead them astray?
MediumAsync1-2 Tage
Purpose

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.

How it works

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.

Tree Testing · Informationsarchitektur prüfenAufgaben gegen eine nackte Navigationshierarchie testen und Suchpfade, Treffer und Fehlwege sichtbar machen
Tree TestingDas Visual zeigt eine Aufgabe, eine nackte Navigationshierarchie, einen Zielpfad und Findings aus dem Tree Test.Informationsarchitektur ohne visuelles UI-Rauschen prüfenTeilnehmende suchen Aufgaben in einer reinen Struktur, damit Labels, Gruppierung und Zielpfade sichtbar werden.PromptMessungAufgabeWo würdest du Ersatzteile finden?FindingsTrefferquote, Fehlpfade, Zeit bisZielNackte NavigationStartShopServiceHilfeProdukteErsatzteileRetourenKomponente68% Erfolghäufiger Fehlpfad: ServiceLabel prüfen

Flow

  1. 1Draft tree
  2. 2Write tasks
  3. 3Test with participants
  4. 4Check success rates
  5. 5Iterate labels and structure

The runsheet guides execution with 5 phases, timeboxes, 5 pitfalls, and clear stop criteria.

Open runsheet

Ideal for

  • IA validation
  • Navigation comparison
  • Findability benchmarking

Not good for

  • Visual hierarchy feedback
  • Open discovery

Deep dive

In detail

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.

Facilitation

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.

Output artifacts
Findability MetricsPath AnalysisRevised IA
Tags
Artifact templates
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.

Card Sorting

Statt Tree Testing, wenn du mit Card Sorting Begriffe offen gruppieren und passende Kategorien aus Nutzersicht finden willst.

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