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Criterion
Paper illustration of a calibrated five-by-five risk matrix with response cards.
Decision Making
Risk Matrix
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 ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
Purposedifferent
When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk 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.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.
Complexitydifferent
LowHighHighLow
Timedifferent
30-60 min1 Tag bis mehrere Wochen1-4 Wochen30-60 min
Participantsdifferent
3-104-101-62-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Risk Matrix, Top Risk ListProblem Statement, Prototype, Test LearningsExperiment results, Decision log, Learning summaryICE Table, Top Idea List
Tagsno overlap
RiskDecisionPrioritizationAssessment
InnovationPrototypeResearch
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringGrowthDecision
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