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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
LowHighLowHigh
Timedifferent
5-20 minHalf day1-5 Tage1-4 Wochen
Participantsdifferent
3-203-12Nutzertraffic1-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsLeverage Map, Action StrategyInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationEffortRisk
Systems thinkingChangeStrategy
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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