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Acceptance criteria are explicit, testable conditions that a requirement must meet to be accepted. They convert stakeholder intent into observable outcomes—often expressed via examples or Gherkin (Given/When/Then)—and provide a direct basis for test case design and automation. The product vision (Option B) aligns direction but is too high-level for verification. A RACI (Option C) clarifies roles and responsibilities; it does not specify behavior to test. A logical data model (Option D) defines structures and relationships, informing design but not per-requirement validation. CAPM business analysis emphasizes requirement quality attributes: clear, consistent, feasible, and verifiable. Well-crafted acceptance criteria reduce ambiguity, accelerate development, and shorten feedback loops. They should trace in the RTM to requirements and test cases, and appear in the Definition of Done so that “Done” means demonstrably meeting criteria. Including edge cases and negative scenarios improves defect prevention and supports objective, audit-ready acceptance decisions.