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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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.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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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
HighHighMediumHigh
Timedifferent
1-4 h or multiple rounds1-4 Wochen1-3 h1-4 Wochen
Participantsdifferent
4-12 Experten6-30 Experten1-51-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesExpert Forecast, Consensus Range, Assumption NotesFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationExpertsForecasting
ForecastingExpertsDecisionStrategy
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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