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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.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
HighMediumLowHigh
Timedifferent
1-4 WochenWochen bis Monate je Lernzyklus45-90 min1-4 Wochen
Participantsdifferent
6-30 Experten2-82-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesHypothesis list, MVPs, Learning reports, Pivot or persevere decisionAnsoff Matrix, Growth Options, Risk NotesExperiment results, Decision log, Learning summary
Tagsno overlap
ForecastingExpertsDecisionStrategy
LeanStartupValidationMVP
GrowthStrategyMarketPortfolio
ExperimentsGrowthAnalyticsValidation
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