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 Decision Tree |  Product Discovery Smoke Test |  Product Discovery Learning Card |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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. |
Complexitydifferent | Medium | Low | Low | Low |
Timedifferent | 30-90 min | 1-5 Tage | 25-40 min | 30-60 min |
Participantsdifferent | 1-6 | Nutzertraffic | 1-5 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Interest Metrics, Conversion Signal, Learning Note | Learning Card with evidence and next action | Completed Experiment Canvas, Success Metric |
Tagsno overlap | DecisionTreeOptions | ValidationExperimentsDemandGrowth | ExperimentsValidationDiscoveryLearning | ExperimentsValidationDiscoveryHypothesis |