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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
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
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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.When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-2 h1-4 Wochen30-60 min60-90 min
Participantsdifferent
3-121-62-82-10
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsExperiment results, Decision log, Learning summaryICE Table, Top Idea ListRICE Scores, Ranked List, Assumption Log
Tagsno overlap
Systems thinkingTradeoffsLeadership
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringGrowthDecision
PrioritizationScoringRoadmapTradeoffs
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