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| Criterion |  Product Strategy RICE Scoring |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Decision Matrix |
|---|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 60-90 min | 30–60 min per interview | 60-90 min | 45-90 min |
Participantsdifferent | 2-10 | 1 participant per interview | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | DecisionCriteriaScoringTradeoffs |