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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitysame
HighHighHigh
Timedifferent
Half day1-4 Wochen1-4 Wochen
Participantsdifferent
3-126-30 Experten1-6
Formatdifferent
WorkshopAsyncAsync
Outputdifferent
Leverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix