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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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.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.
Complexitydifferent
MediumLowHigh
Timedifferent
1-2 h1-2 h1-4 Wochen
Participantsdifferent
3-122-86-30 Experten
Formatdifferent
WorkshopWorkshop + asyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
Systems thinkingTradeoffsLeadership
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis