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| Criterion |  Agile NoEstimates |  Product Discovery Experiment Canvas |  Product Strategy DIBB |  Product Discovery Test Card |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | laufend | 30-60 min | 1-2 h | 20-35 min |
Participantsdifferent | 2-12 | 1-5 | 2-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Completed Experiment Canvas, Success Metric | DIBB document, Belief list, Bet list, Learning report | Test Card with a pre-set threshold |
Tagsno overlap | EstimationForecastingFlow | ExperimentsValidationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |