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Criterion
Empathy Mapping
UX Research
Empathy Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.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 min1-4 Wochen1-2 Wochen pro Iteration1-2 h
Participantsdifferent
4-86-30 Experten2-62-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Empathy Map, Assumptions List, Research GapsExpert Forecast, Consensus Range, Assumption NotesPrioritized Assumption List, Test Plan, Results ReportDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
SynthesisQualitativeWorkshop
ForecastingExpertsDecisionStrategy
ExperimentsValidationDiscoveryAssumptions
StrategyDecisionAssumptionsHypothesis
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