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Criterion
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.
Complexitydifferent
LowLowHighMedium
Timedifferent
30-60 min25-40 min1-4 Wochen1-2 Wochen
Participantsdifferent
2-81-51-61-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
ICE Table, Top Idea ListLearning Card with evidence and next actionExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next bet
Tagsno overlap
PrioritizationScoringGrowthDecision
ExperimentsValidationDiscoveryLearning
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
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