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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitysame
MediumMediumMedium
Timedifferent
1-2 Tage1-2 h Setup, laufend1-5 Tage
Participantsdifferent
Based on research question2-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IAOpportunity Solution Tree, Experiment Backlog, Learning LogClick Data, Interest Signal, Learning Decision
Tagsno overlap
Information architectureNavigationFindability
DiscoveryOutcomesExperimentsOpportunity
ValidationExperimentsDemandDiscovery
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix