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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Strategy Lean Canvas | ![]() Operations 5 Whys | ![]() Operations Root Cause 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. | 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 | Low | Medium | Low | Medium |
Timedifferent | 45–90 min | 45-90 min | 15-30 min | 1-4 h |
Participantsdifferent | 3-10 | 1-6 | 2-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Lean Canvas, Core Assumptions, Experiment Backlog | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | StartupLeanAssumptionsBusiness model | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |



