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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
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.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
MediumMediumLowMedium
Timedifferent
1-3 h30-90 min30-60 min45-75 min
Participantsdifferent
1-81-61-52-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Argument Map, Evidence Gaps, Decision RationaleDecision Tree, Option Map, Assumption ListCompleted Experiment Canvas, Success MetricTest Matrix, Test Plan
Tagsno overlap
SensemakingDecisionRationale
DecisionTreeOptions
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryOptions
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