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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.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.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowHighHighLow
Timedifferent
5-20 min1-5 Tage1-4 Wochen30-60 min
Participantsdifferent
3-204-121-61-5
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsLogic Model, Change Objectives, Intervention Components, Evaluation PlanExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
EstimationEffortRisk
ChangeSystems thinkingCapability
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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