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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Purposedifferent
A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.
Complexitydifferent
HighMediumLowHigh
Timedifferent
2-4 hlaufend1-2 hHalf day
Participantsdifferent
3-82-122-83-12
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsThroughput Data, Flow Forecast, Slicing RulesDIBB document, Belief list, Bet list, Learning reportLeverage Map, Action Strategy
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
EstimationForecastingFlow
StrategyDecisionAssumptionsHypothesis
Systems thinkingChangeStrategy
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