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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
LowHighMediumHigh
Timedifferent
20–45 min1-4 Wochen45-60 min1-4 Wochen
Participantsdifferent
Small cross-functional group6-30 Experten2-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logExpert Forecast, Consensus Range, Assumption NotesAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
ForecastingExpertsDecisionStrategy
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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