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| Criterion |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Evaporating Cloud |  Product Strategy DIBB |
|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. |
Complexitydifferent | High | Medium | Low |
Timedifferent | Mehrere Wochen | 60-120 min | 1-2 h |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | OutcomesInnovationResearchQuantitative | Theory of ConstraintsAssumptionsSystems thinking | StrategyDecisionAssumptionsHypothesis |
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