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Criterion
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.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 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
MediumLowLowHigh
Timedifferent
60-90 min30-60 min30-60 min1-4 Wochen
Participantsdifferent
2-102-62-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
RICE Scores, Ranked List, Assumption LogCounter Metric List, Guardrail DefinitionsICE Table, Top Idea ListExperiment results, Decision log, Learning summary
Tagsno overlap
PrioritizationScoringRoadmapTradeoffs
MetricsMeasurementStrategyExperiments
PrioritizationScoringGrowthDecision
ExperimentsGrowthAnalyticsValidation
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