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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
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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.
Complexitydifferent
LowLowLowMedium
Timedifferent
1-2 h15-30 min Planung, laufend30-90 min30-90 min
Participantsdifferent
2-812-81-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportBlocked Calendar, Capacity View, Focus PlanConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
PlanningTime managementFocus
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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