View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Operations Fault Tree Analysis | ![]() Product Discovery Outcome-Driven Innovation | ![]() Product Discovery Experiment Canvas | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | 2-6 h | Mehrere Wochen | 30-60 min | 45-60 min |
Participantsdifferent | 3-8 | 2-6 researchers plus sample | 1-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | RiskRoot causeSafety | OutcomesInnovationResearchQuantitative | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |



