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| Criterion |  Product Discovery Dual-Track Agile |  UX Research Affinity Diagramming |  Operations 5 Whys |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Medium | Low | Low | Medium |
Timedifferent | Laufend, Wochen bis Monate | 45–90 min | 15-30 min | 1-4 h |
Participantsdifferent | 4-10 | 3-10 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories | Theme clusters, Insight statements, Opportunity areas | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | AgileDiscoveryDelivery | SynthesisQualitativeRoot cause | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |