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| Criterion |  Product Discovery Outcome-Driven Innovation |  Decision Making Constraint Analysis |  Facilitation Decision Jam |  Decision Making Decision 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. | 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. | When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer. | 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. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Mehrere Wochen | 30-90 min | 60-90 min | 30-90 min |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Problem Cluster, Prioritized Challenge, Experiment | Decision Tree, Option Map, Assumption List |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ConstraintsDecisionPlanningOptions | FacilitationDecisionProblem solvingWorkshop | DecisionTreeOptions |