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Criterion
Paper illustration for Story Points.
Agile
Story Points
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumLowLow
Timedifferent
laufend, 1-5 min je Item45-90 min1-2 h
Participantsdifferent
3-93-122-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Point Estimates, Reference Stories, Velocity DataForce Field Map, Change Levers, Risk NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationAgileMeasurement
ChangeDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method