View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |  Product Strategy KPI Tree |  Product Strategy OKRs |
|---|---|---|---|---|
Purposedifferent | 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. | When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | When strategic direction needs to become measurable, it connects ambition with checkable results. It makes goals connectable to focus and review. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | Mehrere Wochen | 90-180 min initial, dann laufend | 1-2 h Setup |
Participantsdifferent | 4-10 | 2-6 researchers plus sample | 3-8 | 2-20 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | KPI Tree, Owner List | OKR set, Measurement plan, Review cadence |
Tagsno overlap | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative | MetricsStrategyAlignmentMeasurement | GoalsAlignmentOutcomesMeasurement |