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Criterion
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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.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.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
LowLowMediumHigh
Timedifferent
10-20 min daily1-2 h30-90 min1-4 Wochen
Participantsdifferent
12-81-66-30 Experten
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Daily Plan, Time Estimates, Review NotesDIBB document, Belief list, Bet list, Learning reportDecision Tree, Option Map, Assumption ListExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
PlanningTime managementProductivityOperations
StrategyDecisionAssumptionsHypothesis
DecisionTreeOptions
ForecastingExpertsDecisionStrategy
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