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Criterion
Paper illustration for Delegation Poker.
Facilitation
Delegation Poker
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for DACI
Decision Making
DACI
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When decisions get stuck between leadership and team, Delegation Poker clarifies the desired scope of autonomy. It shows how much decision-making latitude a role should actually get in practice.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.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
LowHighLowLow
Timedifferent
45-90 min1-4 Wochen30-60 min1-2 h
Participantsdifferent
3-106-30 Experten2-102-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Delegation Board, Decision Boundaries, Role AgreementsExpert Forecast, Consensus Range, Assumption NotesDACI Matrix, Decision Owner, Decision LogDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
AutonomyRolesTeam
ForecastingExpertsDecisionStrategy
DecisionRolesGovernanceAlignment
StrategyDecisionAssumptionsHypothesis
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