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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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 min2-4 h1-4 Wochen30-60 min
Participantsdifferent
3-203-81-61-5
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
EstimationEffortRisk
Theory of ConstraintsSystems thinkingChange
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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