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Criterion
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
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
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 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 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.
Complexitydifferent
HighLowMediumHigh
Timedifferent
90-180 min30-60 min1-3 h1-4 Wochen
Participantsdifferent
3-82-81-51-6
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
CoD Table, Prioritization SequenceICE Table, Top Idea ListFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
PrioritizationDeliveryEconomicsDecision
PrioritizationScoringGrowthDecision
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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