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| Criterion | ![]() Product Discovery Concierge MVP | ![]() Growth Hooked Model | ![]() Growth Flywheel | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | Multiple workshops over several weeks | 60-120 min | 30-60 min |
Participantsdifferent | 3-10 Kunden | 2-8 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | Hooked loop, Trigger map, Reward design, Ethics check | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Completed Experiment Canvas, Success Metric |
Tagsno overlap | MVPValidationServiceDiscovery | GrowthBehaviorRetention | GrowthRetentionConversion | ExperimentsValidationDiscoveryHypothesis |



