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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
HighLowMediumLow
Timedifferent
1-4 Wochen30–60 min1-3 Tage1-2 h
Participantsdifferent
6-30 Experten4-8Internes Team2-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesEmpathy Map, Assumptions List, Research GapsPersona Profiles, Needs Summary, Scenario NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
SynthesisQualitativeWorkshop
ResearchCustomerSynthesis
StrategyDecisionAssumptionsHypothesis
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