View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Agile Affinity Estimation |  Operations PDCA Cycle |  Product Discovery Fake Door Test |
|---|---|---|---|
Purposedifferent | 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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 30-90 min | 1 h bis mehrere Wochen | 1-5 Tage |
Participantsdifferent | 3-12 | 1-8 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationBacklogRelative sizing | Continuous improvementLeanExperiments | ValidationExperimentsDemandDiscovery |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
