View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Strategy DIBB |  Decision Making Delphi Method |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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. | 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Low | High | High |
Timedifferent | 1-2 h | 1-4 Wochen | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy | ForecastingFlowDelivery |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
