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Criterion
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
Paper fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Purposedifferent
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.When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.
Complexitydifferent
LowHighLowHigh
Timedifferent
30-60 min1-4 Wochen30-60 min2-6 h
Participantsdifferent
2-81-62-83-10
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop
Outputdifferent
ICE Table, Top Idea ListExperiment results, Decision log, Learning summaryFishbone Diagram, Cause Categories, Investigation BacklogFMEA Table, Risk Priority, Mitigation Actions
Tagsno overlap
PrioritizationScoringGrowthDecision
ExperimentsGrowthAnalyticsValidation
Root causeQualityOperations
RiskQualityOperationsRoot cause
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