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Criterion
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
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.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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.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.
Complexitydifferent
LowHighHighHigh
Timedifferent
30-60 min1 Tag bis mehrere Wochen1-4 Wochen90-180 min
Participantsdifferent
2-84-101-63-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
ICE Table, Top Idea ListProblem Statement, Prototype, Test LearningsExperiment results, Decision log, Learning summaryCoD Table, Prioritization Sequence
Tagsno overlap
PrioritizationScoringGrowthDecision
InnovationPrototypeResearch
ExperimentsGrowthAnalyticsValidation
PrioritizationDeliveryEconomicsDecision
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