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Criterion
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic.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.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
LowHighHighLow
Timedifferent
45-90 minHalber Tag1-4 Wochen1-2 h
Participantsdifferent
3-125-206-30 Experten2-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Force Field Map, Change Levers, Risk NotesSimulation Notes, Gaps List, Updated RunbooksExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ChangeDecisionStrategy
ResilienceOperationsIncident
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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