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Criterion
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.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.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
LowLowLowHigh
Timedifferent
10-20 min daily20-45 min1-2 h1-4 Wochen
Participantsdifferent
13-122-86-30 Experten
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Daily Plan, Time Estimates, Review NotesLessons learned, Action items, Event summaryDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
PlanningTime managementProductivityOperations
LearningOperationsImprovement
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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