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Criterion
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Purposedifferent
When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.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 hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.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.
Complexitydifferent
LowLowMediumMedium
Timedifferent
30-60 min1-2 h60-90 min1-2 Wochen pro Iteration
Participantsdifferent
2-62-83-82-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Counter Metric List, Guardrail DefinitionsDIBB document, Belief list, Bet list, Learning reportPrioritization Canvas, Hypothesis BacklogPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
MetricsMeasurementStrategyExperiments
StrategyDecisionAssumptionsHypothesis
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsValidationDiscoveryAssumptions
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