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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Strategy Lean Canvas | ![]() Operations Root Cause Analysis | ![]() Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | 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. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 45-90 min | 1-4 h | 1-3 h |
Participantsdifferent | 3-10 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Lean Canvas, Core Assumptions, Experiment Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | SynthesisQualitativeRoot cause | StartupLeanAssumptionsBusiness model | Root causeProblem solvingQualityIncident | Root causeTreeIncidentQuality |



