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Criterion
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 an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
MediumHighLowLow
Timedifferent
1-3 h1-4 Wochen45-90 min30-60 min
Participantsdifferent
3-81-62-81-5
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Failure Scenarios, Risk Notes, Control Gaps, Test and Response ActionsExperiment results, Decision log, Learning summaryAssumption List, Critical Assumptions, Learning PlanCompleted Experiment Canvas, Success Metric
Tagsno overlap
FailureResilienceRisk
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskDecisionDiscovery
ExperimentsValidationDiscoveryHypothesis
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