The correct answer is B. Prioritization Matrix, exactly as identified in the uploaded study guide. A prioritization matrix helps a UX or product team evaluate candidate work items using explicit criteria. In this scenario, the relevant dimensions are user value and development effort. Plotting or categorizing potential user stories against these dimensions helps the team identify high-value, comparatively low-effort work and distinguish it from lower-value or significantly more expensive initiatives.
This approach provides a rational mechanism for deciding which user stories should receive attention first rather than relying on stakeholder preference or intuition alone.
Option A, Card Sorting, is a research technique for understanding how users categorize information. It is useful for navigation and information architecture but does not evaluate development effort.
Option C, Customer Journey Mapping, visualizes a user's experience across stages and touchpoints, including actions, pain points, and opportunities. It can generate candidate improvements but does not itself provide the structured value-versus-effort prioritization requested here.
The Discovery process frequently produces more opportunities than a team can implement immediately. Prioritization translates those findings into an actionable backlog by connecting user needs with delivery constraints.
Thus, a Prioritization Matrix is the appropriate technique for informing user stories according to both impact and implementation effort.
Study Guide reference/topics: Prioritization Matrix, user value, development effort, user stories, Discovery.
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