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| Criterion |  Product Discovery Solution Interview |  Systems Thinking Future Reality Tree |  Decision Making Delphi Method |  Innovation Design Sprint |
|---|---|---|---|---|
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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | 30-60 min je Interview | 2-4 h | 1-4 Wochen | 4-5 Tage |
Participantsdifferent | 5-10 Interviews | 3-8 | 6-30 Experten | 5-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Solution Feedback, Objection List, Validation Notes | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | ValidationInterviewsPrototype | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | Design sprintPrototypeValidationInnovation |