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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.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.When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.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
LowLowLowHigh
Timedifferent
20–45 min1-5 Tage30-60 min1-4 Wochen
Participantsdifferent
Small cross-functional groupNutzertraffic2-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logInterest Metrics, Conversion Signal, Learning NoteICE Table, Top Idea ListExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
ValidationExperimentsDemandGrowth
PrioritizationScoringGrowthDecision
ExperimentsGrowthAnalyticsValidation
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