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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
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 Wideband Delphi.
Decision Making
Wideband Delphi
Purposedifferent
When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.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.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
MediumMediumHighHigh
Timedifferent
30-60 min30-90 min1-4 Wochen1-4 h or multiple rounds
Participantsdifferent
2-63-126-30 Experten4-12 Experten
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleAffinity Size Map, Grouped Estimates, Unclear ItemsExpert Forecast, Consensus Range, Assumption NotesEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
BacklogIterationDelivery
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
EstimationExpertsForecasting
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