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Criterion
Paper illustration of Double Diamond with its method-specific working model.
Innovation
Double Diamond
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement.In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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
MediumMediumHighLow
Timedifferent
Wochen bis Monate1-3 h1-4 Wochen30-60 min
Participantsdifferent
3-123-81-61-5
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Problem Statement, Solution Options, Prototypes, Deliverables per PhaseFailure Scenarios, Risk Notes, Control Gaps, Test and Response ActionsExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
ProcessDivergenceInnovation
FailureResilienceRisk
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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