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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
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.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
MediumHighLowLow
Timedifferent
1-3 Tage1-4 Wochen45-90 min1-2 h
Participantsdifferent
Internes Team6-30 Experten2-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesExpert Forecast, Consensus Range, Assumption NotesAssumption List, Critical Assumptions, Learning PlanDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ResearchCustomerSynthesis
ForecastingExpertsDecisionStrategy
AssumptionsRiskDecisionDiscovery
StrategyDecisionAssumptionsHypothesis
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