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| Criterion |  Product Discovery Working Backwards |  Decision Making Decision Tree |  Decision Making Trade-off Analysis |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h, mehrere Iterationen | 30-90 min | 45-120 min | 45-90 min |
Participantsdifferent | 2-6 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Decision Tree, Option Map, Assumption List | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | VisionNarrativeAlignment | DecisionTreeOptions | TradeoffsDecisionCriteriaOptions | DecisionCriteriaScoringTradeoffs |