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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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 Wideband Delphi.
Decision Making
Wideband Delphi
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.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assessments iteratively and gradually brings expert judgments closer together.In dynamic situations, decisions become outdated faster than they can be prepared.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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
30-90 min1-4 Wochen15-60 min je Zyklus1-4 h or multiple rounds
Participantsdifferent
3-126-30 Experten1-84-12 Experten
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsExpert Forecast, Consensus Range, Assumption NotesSituation Assessment, Decision Loop, Action UpdatesEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
DecisionChangeLearningStrategy
EstimationExpertsForecasting
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