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Criterion
Paper illustration for Fault Tree Analysis.
Operations
Fault Tree Analysis
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 of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Purposedifferent
For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage.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.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.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.
Complexitysame
HighHighHighHigh
Timedifferent
2-6 h1 Tag bis mehrere WochenMehrere Wochen2-6 h
Participantsdifferent
3-84-102-6 researchers plus sample3-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Fault Tree, Critical Paths, Cause Hypotheses, Control ActionsProblem Statement, Prototype, Test LearningsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesFMEA Table, Risk Priority, Mitigation Actions
Tagsno overlap
RiskRoot causeSafety
InnovationPrototypeResearch
OutcomesInnovationResearchQuantitative
RiskQualityOperationsRoot cause
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