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| Criterion | ![]() Product Discovery Working Backwards | ![]() Growth Flywheel | ![]() Product Discovery Experiment Canvas | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When the target state and benefit need to be clear first, it thinks backward from the desired outcome into the product logic. It sharpens vision, objections, and value proposition before elaboration. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Low | High |
Timedifferent | 4-8 h, mehrere Iterationen | 60-120 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-6 | 3-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Future Press Release, FAQ, Vision Statement | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | VisionNarrativeAlignment | GrowthRetentionConversion | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |



