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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
MediumLowLowMedium
Timedifferent
30-90 min30-60 min1-5 Tage45-75 min
Participantsdifferent
1-62-10Nutzertraffic2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListDACI Matrix, Decision Owner, Decision LogInterest Metrics, Conversion Signal, Learning NoteTest Matrix, Test Plan
Tagsno overlap
DecisionTreeOptions
DecisionRolesGovernanceAlignment
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryOptions
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