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 | ![]() Growth Hooked Model | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | Multiple workshops over several weeks | 1-5 Tage | 30-60 min |
Participantsdifferent | 6-30 Experten | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Hooked loop, Trigger map, Reward design, Ethics check | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ForecastingExpertsDecisionStrategy | GrowthBehaviorRetention | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



