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Criterion
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
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.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.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.When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.
Complexitydifferent
MediumLowLowLow
Timedifferent
30-240 min45-90 min1-2 h60-90 min
Participantsdifferent
1-62-82-84-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Hypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryAssumption List, Critical Assumptions, Learning PlanDIBB document, Belief list, Bet list, Learning reportProblem Cluster, Prioritized Challenge, Experiment
Tagsno overlap
TroubleshootingProblem solvingDiagnosis
AssumptionsRiskDecisionDiscovery
StrategyDecisionAssumptionsHypothesis
FacilitationDecisionProblem solvingWorkshop
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