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Criterion
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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
MediumLowLowLow
Timedifferent
30-240 min1-2 h20-35 min30-60 min
Participantsdifferent
1-62-81-51-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Hypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryDIBB document, Belief list, Bet list, Learning reportTest Card with a pre-set thresholdCompleted Experiment Canvas, Success Metric
Tagsno overlap
TroubleshootingProblem solvingDiagnosis
StrategyDecisionAssumptionsHypothesis
ExperimentsValidationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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