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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.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.
Complexitysame
HighHighHigh
Timedifferent
1-4 h or multiple rounds30-90 min Setup, danach laufend1-4 Wochen
Participantsdifferent
4-12 Experten1-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesForecast Percentiles, Throughput Dataset, Risk CommunicationExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationExpertsForecasting
ForecastingFlowDelivery
ExperimentsGrowthAnalyticsValidation
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Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method