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Criterion
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 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.
Complexitydifferent
HighMediumHighLow
Timedifferent
90-180 min1-3 h1-4 Wochen30-60 min
Participantsdifferent
3-81-51-62-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
CoD Table, Prioritization SequenceFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryICE Table, Top Idea List
Tagsno overlap
PrioritizationDeliveryEconomicsDecision
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringGrowthDecision
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