View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Innovation Design Thinking |  Product Strategy GIST Planning |  Decision Making Decision Tree |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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. | 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 decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | High | Medium | Medium | High |
Timedifferent | 1 Tag bis mehrere Wochen | Wochen bis Monate je Goal | 30-90 min | Mehrere Wochen |
Participantsdifferent | 4-10 | 3-10 | 1-6 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Goals, Idea bank, Step-project list, Tasks, Learning reports | Decision Tree, Option Map, Assumption List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | InnovationPrototypeResearch | RoadmapOutcomesPlanningExperiments | DecisionTreeOptions | OutcomesInnovationResearchQuantitative |