View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Assumption Surfacing |  Product Discovery Concierge MVP |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. | 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 | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 45-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 1-4 | 2-8 | 3-10 Kunden | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Assumption List, Critical Assumptions, Learning Plan | Concierge Learnings, Service Blueprint, MVP Risks | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Knowledge graphValidationSemantic | AssumptionsRiskDecisionDiscovery | MVPValidationServiceDiscovery | StrategyDecisionAssumptionsHypothesis |