View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Product Discovery User Story Mapping | ![]() Product Strategy GIST Planning | ![]() Agile Affinity Estimation | ![]() Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | When user goals and delivery scope could drift apart, it orders the journey from goal to slice. It makes visible where an MVP can genuinely be cut. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list. | 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 2-4 h | Wochen bis Monate je Goal | 30-90 min | 1-2 h Setup, laufend |
Participantsdifferent | 4-10 | 3-10 | 3-12 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Story Map, Release Slices, Backlog Candidates | Goals, Idea bank, Step-project list, Tasks, Learning reports | Affinity Size Map, Grouped Estimates, Unclear Items | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | BacklogJourneyPlanningMVP | RoadmapOutcomesPlanningExperiments | EstimationBacklogRelative sizing | DiscoveryOutcomesExperimentsOpportunity |



