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Criterion
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
HighLowMediumHigh
Timedifferent
90-180 min20–45 min45-60 min1-4 Wochen
Participantsdifferent
3-8Small cross-functional group2-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncAsync
Outputdifferent
CoD Table, Prioritization SequenceRisk list, Mitigation plan, Assumption logAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
PrioritizationDeliveryEconomicsDecision
RiskDecisionFailurePlanning
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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