View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Strategy ICE Scoring |  Product Discovery Outcome-Driven Innovation |  Decision Making Decision Tree |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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. | 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. | 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 | 30-60 min | Mehrere Wochen | 30-90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-8 | 2-6 researchers plus sample | 1-6 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | ICE Table, Top Idea List | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Decision Tree, Option Map, Assumption List | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | PrioritizationScoringGrowthDecision | OutcomesInnovationResearchQuantitative | DecisionTreeOptions | InnovationPrototypeResearch |