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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.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.
Complexitydifferent
LowLowHighHigh
Timedifferent
20-45 min1-2 hHalf day1-4 Wochen
Participantsdifferent
Based on research question2-83-126-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Content groups, Label set, IA hypothesesDIBB document, Belief list, Bet list, Learning reportLeverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
Information architectureNavigationStructure
StrategyDecisionAssumptionsHypothesis
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
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