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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.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.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
LowMediumMediumMedium
Timedifferent
1 h bis mehrere Wochen60-90 min1-5 Tage45-75 min
Participantsdifferent
1-83-8Nutzertraffic2-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangePrioritization Canvas, Hypothesis BacklogClick Data, Interest Signal, Learning DecisionTest Matrix, Test Plan
Tags1 shared
Continuous improvementLeanExperiments
ExperimentsPrioritizationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryOptions
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