View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Decision Making Delphi Method | ![]() Product Discovery Concierge MVP | ![]() UX Design Customer Journey Canvas | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a journey needs to be understood across several phases, it arranges experience, touchpoints, and opportunities into one picture. It makes gaps and friction along the user path clear. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 1-3 h | 1-2 h |
Participantsdifferent | 6-30 Experten | 3-10 Kunden | 3-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Concierge Learnings, Service Blueprint, MVP Risks | Customer Journey Canvas, Pain Points, Experience Opportunities | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ForecastingExpertsDecisionStrategy | MVPValidationServiceDiscovery | JourneyCustomerService designCanvas | StrategyDecisionAssumptionsHypothesis |



