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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Purposedifferent
Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.
Complexitydifferent
HighLowHighMedium
Timedifferent
Mehrere Wochen20–45 min1 Tag bis mehrere Wochen1-3 h
Participantsdifferent
2-6 researchers plus sampleSmall cross-functional group4-103-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesRisk list, Mitigation plan, Assumption logProblem Statement, Prototype, Test LearningsFailure Scenarios, Risk Notes, Control Gaps, Test and Response Actions
Tagsno overlap
OutcomesInnovationResearchQuantitative
RiskDecisionFailurePlanning
InnovationPrototypeResearch
FailureResilienceRisk
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