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| Criterion |  Product Strategy GIST Planning |  Growth A/B Testing |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | Wochen bis Monate je Goal | 1-4 Wochen | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 3-10 | 1-6 | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Goals, Idea bank, Step-project list, Tasks, Learning reports | Experiment results, Decision log, Learning summary | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | RoadmapOutcomesPlanningExperiments | ExperimentsGrowthAnalyticsValidation | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |