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| Criterion | ![]() DevOps Blameless Postmortem | ![]() Product Discovery Pretotyping | ![]() Operations Learning Review | ![]() Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-90 min | Stunden bis wenige Tage | 1-3 h | 1-5 Tage |
Participantsdifferent | 3-12 | 1-4 | 3-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Postmortem Doc, Action Items, Timeline | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Learning Review Notes, System Factors, Improvement Actions | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Site Reliability EngineeringIncidentLearningReliability | ValidationDemandMVP | LearningRetrospectiveIncidentOperations | ValidationExperimentsDemandDiscovery |



