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| Criterion | ![]() UX Research HEART Framework | ![]() Decision Making Assumption Surfacing | ![]() Product Discovery Fake Door Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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 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 | Medium | Low | Medium | Low |
Timedifferent | 120 min initial, dann laufend | 45-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 3-6 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | HEART-GSM Table, Dashboard | Assumption List, Critical Assumptions, Learning Plan | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | AssumptionsRiskDecisionDiscovery | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |



