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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision 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
Purposedifferent
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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
1-3 h45-90 min1-4 Wochen1-4 Wochen
Participantsdifferent
1-52-86-30 Experten1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesDecision Matrix, Scoring Rationale, Selected OptionExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
DecisionCriteriaScoringTradeoffs
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
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