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Criterion
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.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
MediumHighHighLow
Timedifferent
1-3 Tage1-4 Wochen1-4 Wochen45-90 min
Participantsdifferent
Internes Team6-30 Experten1-62-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summaryAnsoff Matrix, Growth Options, Risk Notes
Tagsno overlap
ResearchCustomerSynthesis
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
GrowthStrategyMarketPortfolio
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