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| Criterion | ![]() Innovation Double Diamond | ![]() Agile Example Mapping | ![]() Agile Affinity Estimation | ![]() Agile Planning Poker |
|---|---|---|---|---|
Purposedifferent | For complex problems with a fuzzy situation, the method cleanly separates search space and decision. It first creates breadth in understanding and then focus in elaboration. This brings open questions, problem definition, and solution path into a traceable movement. | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | Wochen bis Monate | 30-60 min | 30-90 min | 2-5 min je Item |
Participantsdifferent | 3-12 | 3-7 | 3-12 | 3-9 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Problem Statement, Solution Options, Prototypes, Deliverables per Phase | Example Map, Acceptance Criteria, Open Questions | Affinity Size Map, Grouped Estimates, Unclear Items | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | ProcessDivergenceInnovation | Behavior-Driven DevelopmentRequirementsExamplesRefinement | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam |



