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| Criterion | ![]() Product Discovery Experiment Canvas | ![]() Innovation Lean Startup | ![]() Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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 | Low | Medium | Low |
Timedifferent | 30-60 min | Wochen bis Monate je Lernzyklus | 1-2 h |
Participantsdifferent | 1-5 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | LeanStartupValidationMVP | StrategyDecisionAssumptionsHypothesis |
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