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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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 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.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.
Complexitydifferent
MediumHighHighLow
Timedifferent
30-90 min1-4 Wochen1-4 Wochen45-90 min
Participantsdifferent
3-121-66-30 Experten2-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsExperiment results, Decision log, Learning summaryExpert Forecast, Consensus Range, Assumption NotesAnsoff Matrix, Growth Options, Risk Notes
Tagsno overlap
EstimationBacklogRelative sizing
ExperimentsGrowthAnalyticsValidation
ForecastingExpertsDecisionStrategy
GrowthStrategyMarketPortfolio
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