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Criterion
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighMediumLowMedium
Timedifferent
Half day3-14 Tage1-2 h45-60 min
Participantsdifferent
3-1250+2-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Leverage Map, Action StrategySurvey Results, Charts, Segment InsightsDIBB document, Belief list, Bet list, Learning reportAssumption map, Test backlog, Risk ranking
Tagsno overlap
Systems thinkingChangeStrategy
QuantitativeResearchValidation
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskExperimentsValidation
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