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Criterion
Paper illustration of a calibrated five-by-five risk matrix with response cards.
Decision Making
Risk Matrix
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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 min1-4 Wochen1-4 Wochen30-60 min
Participantsdifferent
3-106-30 Experten1-62-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Risk Matrix, Top Risk ListExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summaryICE Table, Top Idea List
Tagsno overlap
RiskDecisionPrioritizationAssessment
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
PrioritizationScoringGrowthDecision
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