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Criterion
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.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
LowLowMediumHigh
Timedifferent
30-60 min30 min Setup, dann laufend1-2 Wochen pro Iteration1-4 Wochen
Participantsdifferent
2-81-3 maintaining, briefing for everyone2-61-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
ICE Table, Top Idea ListRAID Log, Status Report SourcePrioritized Assumption List, Test Plan, Results ReportExperiment results, Decision log, Learning summary
Tagsno overlap
PrioritizationScoringGrowthDecision
RiskTrackingStakeholdersGovernance
ExperimentsValidationDiscoveryAssumptions
ExperimentsGrowthAnalyticsValidation
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