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Criterion
Paper illustration for Landing Page Test.
Product Discovery
Landing Page Test
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
MediumMediumHigh
Timedifferent
1-5 Tage30-90 min1-4 Wochen
Participantsdifferent
Nutzertraffic1-61-6
Formatdifferent
AsyncWorkshop + asyncAsync
Outputdifferent
Landing Page, Conversion Data, Learning SummaryDecision Tree, Option Map, Assumption ListExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationConversionMarketing
DecisionTreeOptions
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Smoke Test.
Product Discovery
Smoke Test