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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 Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
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.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 many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.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 min1-2 h30-60 min60-90 min
Participantsdifferent
1-62-82-84-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Hypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryDIBB document, Belief list, Bet list, Learning reportPower Interest Grid, Strategy per StakeholderProblem Cluster, Prioritized Challenge, Experiment
Tagsno overlap
TroubleshootingProblem solvingDiagnosis
StrategyDecisionAssumptionsHypothesis
StakeholdersFacilitationAlignmentPlanning
FacilitationDecisionProblem solvingWorkshop
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