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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.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.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
LowHighHighLow
Timedifferent
20–45 min90-180 min1-4 Wochen1-5 Tage
Participantsdifferent
Small cross-functional group3-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logCoD Table, Prioritization SequenceExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RiskDecisionFailurePlanning
PrioritizationDeliveryEconomicsDecision
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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