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Criterion
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 for ALPEN Method
Operations
ALPEN Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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
HighMediumLowLow
Timedifferent
0.5-2 Tage30-90 min10-20 min daily1-2 h
Participantsdifferent
4-121-612-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Scenario Set, Strategic Implications, Robust OptionsDecision Tree, Option Map, Assumption ListDaily Plan, Time Estimates, Review NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
StrategyUncertaintyPlanning
DecisionTreeOptions
PlanningTime managementProductivityOperations
StrategyDecisionAssumptionsHypothesis
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