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| Criterion | ![]() Product Discovery Jobs to Be Done | ![]() Growth Funnel Analysis | ![]() Growth Flywheel | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 Wochen | 1-3 h | 60-120 min | 1-4 Wochen |
Participantsdifferent | 5-12 Interviews | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Job Stories, Outcome Statements, Opportunity List | Funnel report, Drop-off analysis, Optimization hypotheses | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | CustomerOutcomesNeeds | AnalyticsConversionGrowth | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |



