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| Criterion | ![]() Product Discovery Jobs to Be Done | ![]() Decision Making Constraint Analysis | ![]() Decision Making Delphi Method | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-3 Wochen | 30-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 5-12 Interviews | 2-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Job Stories, Outcome Statements, Opportunity List | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | CustomerOutcomesNeeds | ConstraintsDecisionPlanningOptions | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |



