View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  UX Research Affinity Diagramming |  Product Discovery Jobs to Be Done |  Innovation Design Thinking |  Innovation Design Sprint |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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. | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 45–90 min | 1-3 Wochen | 1 Tag bis mehrere Wochen | 4-5 Tage |
Participantsdifferent | 3-10 | 5-12 Interviews | 4-10 | 5-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Job Stories, Outcome Statements, Opportunity List | Problem Statement, Prototype, Test Learnings | Prototype, Test Findings, Decision Rationale |
Tagsno overlap | SynthesisQualitativeRoot cause | CustomerOutcomesNeeds | InnovationPrototypeResearch | Design sprintPrototypeValidationInnovation |