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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
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
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Purposedifferent
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.
Complexitydifferent
LowHighHighLow
Timedifferent
45–90 min1-4 Wochen1-4 Wochen45-90 min
Participantsdifferent
3-106-30 Experten1-62-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summaryAnsoff Matrix, Growth Options, Risk Notes
Tagsno overlap
SynthesisQualitativeRoot cause
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
GrowthStrategyMarketPortfolio
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