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Criterion
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.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 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.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.
Complexitydifferent
LowMediumMediumLow
Timedifferent
1-5 Tage30-90 min45-75 min30-60 min
Participantsdifferent
Nutzertraffic1-62-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Interest Metrics, Conversion Signal, Learning NoteDecision Tree, Option Map, Assumption ListTest Matrix, Test PlanCompleted Experiment Canvas, Success Metric
Tagsno overlap
ValidationExperimentsDemandGrowth
DecisionTreeOptions
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryHypothesis
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