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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Time Blocking
Operations
Time Blocking
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for ALPEN Method
Operations
ALPEN Method
Purposedifferent
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.With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure.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.
Complexitydifferent
LowLowMediumLow
Timedifferent
1-2 h15-30 min Planung, laufend30-90 min10-20 min daily
Participantsdifferent
2-811-61
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportBlocked Calendar, Capacity View, Focus PlanDecision Tree, Option Map, Assumption ListDaily Plan, Time Estimates, Review Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
PlanningTime managementFocus
DecisionTreeOptions
PlanningTime managementProductivityOperations
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