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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowHighLow
Timedifferent
1-4 Wochen20-45 min1-4 Wochen1-5 Tage
Participantsdifferent
6-30 ExpertenBased on research question1-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesContent groups, Label set, IA hypothesesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ForecastingExpertsDecisionStrategy
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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