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Criterion
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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.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 h1-4 Wochen30–60 min1-2 h
Participantsdifferent
1-86-30 Experten4-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Argument Map, Evidence Gaps, Decision RationaleExpert Forecast, Consensus Range, Assumption NotesEmpathy Map, Assumptions List, Research GapsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
SensemakingDecisionRationale
ForecastingExpertsDecisionStrategy
SynthesisQualitativeWorkshop
StrategyDecisionAssumptionsHypothesis
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