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Selected:Hypothesis-Driven Troubleshooting Riskiest Assumption Test Assumption Surfacing Experiment Canvas

Criterion	Engineering Hypothesis-Driven Troubleshooting	Product Discovery Riskiest Assumption Test	Decision Making Assumption Surfacing	Product Discovery Experiment Canvas
Purposedifferent	When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.	When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.	Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.	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	Medium	Medium	Low	Low
Timedifferent	30-240 min	1-2 Wochen pro Iteration	45-90 min	30-60 min
Participantsdifferent	1-6	2-6	2-8	1-5
Formatsame	Workshop + async	Workshop + async	Workshop + async	Workshop + async
Outputdifferent	Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary	Prioritized Assumption List, Test Plan, Results Report	Assumption List, Critical Assumptions, Learning Plan	Completed Experiment Canvas, Success Metric
Tagsno overlap	TroubleshootingProblem solvingDiagnosis	ExperimentsValidationDiscoveryAssumptions	AssumptionsRiskDecisionDiscovery	ExperimentsValidationDiscoveryHypothesis

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