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Criterion
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitysame
MediumMediumMediumMedium
Timedifferent
60-90 min2-4 h45-75 min1-5 Tage
Participantsdifferent
3-82-82-8Nutzertraffic
Formatdifferent
WorkshopWorkshop + asyncWorkshopAsync
Outputdifferent
Prioritization Canvas, Hypothesis BacklogCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixTest Matrix, Test PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsPrioritizationDiscoveryHypothesis
OntologyKnowledge graphScopeRequirementsSemantic
ExperimentsValidationDiscoveryOptions
ValidationExperimentsDemandDiscovery
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