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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 of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.
Complexitydifferent
MediumHighLowLow
Timedifferent
30-90 min1-4 Wochen2-5 min je Item45-90 min
Participantsdifferent
3-126-30 Experten3-93-12
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsExpert Forecast, Consensus Range, Assumption NotesRelative Estimates, Assumption Notes, Split CandidatesForce Field Map, Change Levers, Risk Notes
Tagsno overlap
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
EstimationAgileRelative sizingTeam
ChangeDecisionStrategy
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