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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for ALPEN Method
Operations
ALPEN Method
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
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.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
HighLowHighLow
Timedifferent
Half day10-20 min daily1-4 Wochen1-2 h
Participantsdifferent
3-1216-30 Experten2-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Leverage Map, Action StrategyDaily Plan, Time Estimates, Review NotesExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
Systems thinkingChangeStrategy
PlanningTime managementProductivityOperations
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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