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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
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
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.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
MediumHighLow
Timedifferent
1-2 h1-4 Wochen1-2 h
Participantsdifferent
3-126-30 Experten2-8
Formatdifferent
WorkshopAsyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Systems thinkingTradeoffsLeadership
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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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