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| Criterion | ![]() Decision Making Trade-off Analysis | ![]() Decision Making Decision Matrix | ![]() Product Discovery Concierge MVP | ![]() Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 45-120 min | 45-90 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 3-10 Kunden | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Decision Matrix, Scoring Rationale, Selected Option | Concierge Learnings, Service Blueprint, MVP Risks | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | TradeoffsDecisionCriteriaOptions | DecisionCriteriaScoringTradeoffs | MVPValidationServiceDiscovery | ConstraintsDecisionPlanningOptions |



