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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
HighLowLowLow
Timedifferent
Halber Tag1-2 h30-60 min20-35 min
Participantsdifferent
5-202-81-51-5
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksDIBB document, Belief list, Bet list, Learning reportCompleted Experiment Canvas, Success MetricTest Card with a pre-set threshold
Tagsno overlap
ResilienceOperationsIncident
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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