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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Product Discovery Product Kata | ![]() Product Discovery Opportunity Solution Tree |
|---|---|---|---|
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. | Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Mehrere Wochen | 1-2 Wochen je Loop | 1-2 h Setup, laufend |
Participantsdifferent | 2-6 researchers plus sample | 3-10 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Direction, Current metric, Target metric, Experiment note, Learning report | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tags1 shared | OutcomesInnovationResearchQuantitative | OutcomesDiscoveryLearningIterationCoaching | DiscoveryOutcomesExperimentsOpportunity |
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