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Criterion
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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.When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.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
MediumMediumLowLow
Timedifferent
30-240 min1-2 h1-2 h60-90 min
Participantsdifferent
1-64-122-84-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Hypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryAlignment Map, Open Issues, Decision QuestionsDIBB document, Belief list, Bet list, Learning reportProblem Cluster, Prioritized Challenge, Experiment
Tagsno overlap
TroubleshootingProblem solvingDiagnosis
AlignmentStakeholdersStrategyFacilitation
StrategyDecisionAssumptionsHypothesis
FacilitationDecisionProblem solvingWorkshop
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