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Criterion
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
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
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-3 h30-90 min1-4 Wochen45-75 min
Participantsdifferent
1-81-61-62-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Argument Map, Evidence Gaps, Decision RationaleDecision Tree, Option Map, Assumption ListExperiment results, Decision log, Learning summaryTest Matrix, Test Plan
Tagsno overlap
SensemakingDecisionRationale
DecisionTreeOptions
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryOptions
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