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| Criterion |  Systems Thinking Behavior Over Time Graph |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Systems Thinking Iceberg Model |
|---|---|---|---|---|
Purposedifferent | A Behavior Over Time Graph shows how a metric or observation develops over time. The method makes trends, breaks, and recurring patterns visible that get lost in snapshots. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 20-45 min | 1 Tag bis mehrere Wochen | Mehrere Wochen | 30-60 min |
Participantsdifferent | 1-10 | 4-10 | 2-6 researchers plus sample | 2-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Behavior Over Time Graph, Trend Hypotheses, Key Events | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Iceberg Worksheet, Pattern Notes, Intervention Ideas |
Tagsno overlap | Systems thinkingPatternsDynamics | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | Systems thinkingRoot causePatterns |