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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
In dynamic situations, decisions become outdated faster than they can be prepared.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.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.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
MediumLowMediumHigh
Timedifferent
15-60 min je Zyklus2-5 min je Item30-90 min1-4 Wochen
Participantsdifferent
1-83-93-126-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesRelative Estimates, Assumption Notes, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear ItemsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionChangeLearningStrategy
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
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