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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
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 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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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 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.
Complexitydifferent
LowHighMediumMedium
Timedifferent
2-5 min je Item1-4 Wochen15-60 min je Zyklus30-90 min
Participantsdifferent
3-96-30 Experten1-83-12
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action UpdatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationAgileRelative sizingTeam
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
EstimationBacklogRelative sizing
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