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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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
MediumMediumLowHigh
Timedifferent
30-90 min15-60 min je Zyklus1-2 h1-4 Wochen
Participantsdifferent
3-121-82-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsSituation Assessment, Decision Loop, Action UpdatesDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationBacklogRelative sizing
DecisionChangeLearningStrategy
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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