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Criterion
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Purposedifferent
When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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.
Complexitydifferent
MediumHighHighLow
Timedifferent
1-3 Wochen1-4 Wochen1-4 Wochen30-60 min
Participantsdifferent
5-12 Interviews6-30 Experten1-62-6
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Job Stories, Outcome Statements, Opportunity ListExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summaryCounter Metric List, Guardrail Definitions
Tagsno overlap
CustomerOutcomesNeeds
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
MetricsMeasurementStrategyExperiments
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