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Criterion
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.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
LowHighMediumLow
Timedifferent
30–60 min per interview1-4 Wochen60-90 min1-2 h
Participantsdifferent
1 participant per interview6-30 Experten3-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Interview Notes, Themes, Insight SummaryExpert Forecast, Consensus Range, Assumption NotesPrioritization Canvas, Hypothesis BacklogDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
QualitativeResearchCustomerDiscovery
ForecastingExpertsDecisionStrategy
ExperimentsPrioritizationDiscoveryHypothesis
StrategyDecisionAssumptionsHypothesis
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