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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 Planning Poker.
Agile
Planning Poker
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.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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
MediumHighLowHigh
Timedifferent
30-90 min1-4 Wochen2-5 min je Item1-4 h or multiple rounds
Participantsdifferent
3-126-30 Experten3-94-12 Experten
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsExpert Forecast, Consensus Range, Assumption NotesRelative Estimates, Assumption Notes, Split CandidatesEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
EstimationAgileRelative sizingTeam
EstimationExpertsForecasting
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