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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of a team retrospective with three separate Start, Stop, and Continue areas and a shared action list.
Agile
Start Stop Continue
Paper illustration for Planning Poker.
Agile
Planning Poker
Purposedifferent
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 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 a team wants to deliberately adjust its working behavior, it makes habits visible and assessable. It focuses on concrete changes instead of diffuse mood.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 Wochen30-90 min30-60 min2-5 min je Item
Participantsdifferent
6-30 Experten3-123-123-9
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear ItemsStart Stop Continue Board, Improvement ActionsRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
RetrospectiveImprovementTeamReflection
EstimationAgileRelative sizingTeam
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