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Criterion
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
HighLowHighMedium
Timedifferent
4-5 Tage15-30 minMehrere Wochen1-4 h
Participantsdifferent
5-82-62-6 researchers plus sample3-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Prototype, Test Findings, Decision RationaleRoot cause notes, CountermeasuresDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
Design sprintPrototypeValidationInnovation
Root causeIncidentLeanProblem solving
OutcomesInnovationResearchQuantitative
Root causeProblem solvingQualityIncident
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