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| Criterion |  Decision Making Constraint Analysis |  Product Discovery Outcome-Driven Innovation |  Product Strategy GIST Planning |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. | 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. | 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. |
Complexitydifferent | Low | High | Medium | High |
Timedifferent | 30-90 min | Mehrere Wochen | Wochen bis Monate je Goal | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 3-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Goals, Idea bank, Step-project list, Tasks, Learning reports | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ConstraintsDecisionPlanningOptions | OutcomesInnovationResearchQuantitative | RoadmapOutcomesPlanningExperiments | InnovationPrototypeResearch |