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Criterion
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.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.
Complexitydifferent
MediumHighMediumLow
Timedifferent
45-90 min1-4 Wochen60-90 min1-5 Tage
Participantsdifferent
2-81-62-10Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Decision Matrix, Scoring Rationale, Selected OptionExperiment results, Decision log, Learning summaryRICE Scores, Ranked List, Assumption LogInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
DecisionCriteriaScoringTradeoffs
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringRoadmapTradeoffs
ValidationExperimentsDemandGrowth
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