View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Innovation Design Thinking |  Systems Thinking Future Reality Tree |  Product Strategy DIBB |  Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | High | High | Low | Low |
Timedifferent | 1 Tag bis mehrere Wochen | 2-4 h | 1-2 h | 45-90 min |
Participantsdifferent | 4-10 | 3-8 | 2-8 | 3-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | DIBB document, Belief list, Bet list, Learning report | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | InnovationPrototypeResearch | Theory of ConstraintsSystems thinkingChange | StrategyDecisionAssumptionsHypothesis | ChangeDecisionStrategy |