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Decision tables list all relevant conditions and actions, enumerating outcomes for each combination. They remove ambiguity in business rules by forcing explicit handling of cases—including edge conditions—so testers can derive comprehensive test sets. This works especially well for eligibility, pricing, routing, and validation logic. User story mapping (Option A) visualizes journeys and helps plan MVP slices but doesn’t express conditional logic. Context diagrams (Option C) show system boundaries and actors, not rule permutations. Affinity diagrams (Option D) cluster ideas during elicitation but are not executable specifications. CAPM-aligned analysis pairs decision tables with acceptance criteria and the Requirements Traceability Matrix so each rule traces to a test case and, where needed, a decision model (e.g., DMN). Good practice includes normalizing overlapping rules, prioritizing by risk, and adding examples (worked scenarios). This reduces rework, accelerates development, and supports auditability—critical in regulated domains—because stakeholders can review exact rule behavior before build.