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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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
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 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.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
HighHighLowLow
Timedifferent
2-4 h1-4 Wochen45-90 min1-2 h
Participantsdifferent
3-86-30 Experten3-122-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption NotesForce Field Map, Change Levers, Risk NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
ChangeDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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