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| Criterion |  Product Discovery Solution Interview |  Decision Making Constraint Analysis |  Product Discovery Outcome-Driven Innovation |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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. | 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 | Medium | Low | High | High |
Timedifferent | 30-60 min je Interview | 30-90 min | Mehrere Wochen | 1 Tag bis mehrere Wochen |
Participantsdifferent | 5-10 Interviews | 2-8 | 2-6 researchers plus sample | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | ValidationInterviewsPrototype | ConstraintsDecisionPlanningOptions | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch |