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Story mapping arranges user activities horizontally as a backbone (the journey) and stacks user stories vertically beneath each activity. This reveals end-to-end flow, dependencies, and gaps, while enabling teams to slice coherent “releases” or “thin vertical slices” across the map for early value (e.g., MVP). The technique helps balance scope and sequence work by outcomes rather than components, improving stakeholder discussion and release planning. Decision trees (Option A) evaluate choices under uncertainty and are more suited to risk or rule evaluation. ERDs (Option C) model data structures and relationships; they are invaluable for design but don’t illuminate workflow-based prioritization. A data dictionary (Option D) standardizes data element definitions, not user journeys. CAPM-aligned business analysis emphasizes using visual, collaborative methods to align stakeholders, derive acceptance criteria, and link work to objectives. Story maps connect naturally to backlog ordering and help teams avoid building disjointed features that don’t deliver a usable slice of value to users.