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Criterion
Paper illustration for Diary Study.
UX Research
Diary Study
Scenario Planning method illustration showing its working structure
Business Strategy
Scenario Planning
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory.Scenario Planning opens the view to several plausible futures instead of a single forecast. The method protects strategies from depending on too narrow an expected path.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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
MediumHighMediumLow
Timedifferent
1-4 Wochen0.5-2 Tage30-90 min1-2 h
Participantsdifferent
5-204-121-62-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Diary Entries, Longitudinal Patterns, Experience TimelineScenario Set, Strategic Implications, Robust OptionsDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
UX researchTrackingBehavior
StrategyUncertaintyPlanning
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
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