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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighLowHighLow
Timedifferent
2-4 h20–45 min1-4 Wochen1-5 Tage
Participantsdifferent
3-8Small cross-functional group1-6Nutzertraffic
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsRisk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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