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Can Generative AI Improve Requirement Gathering Accuracy in Systems Analysis?
Learn how generative AI enhances systems analysis by converting ambiguous business inputs into clear, actionable requirements, improving efficiency and accuracy in requirement gathering.
Question
How does generative AI support systems analysts during requirement gathering?
A. By eliminating the need for structured documentation
B. By automatically approving system requirements without human review
C. By transforming vague business needs into clear, actionable requirements
D. By replacing the need for stakeholder interviews
Answer
C. By transforming vague business needs into clear, actionable requirements
Explanation
Generative AI assists systems analysts during requirement gathering by analyzing unstructured stakeholder inputs—such as conversation transcripts, emails, meeting notes, or user stories—and converting them into structured, precise, and actionable system requirements. It uses natural language understanding and contextual learning to extract intent, identify ambiguities, suggest clarifications, and generate draft documentation. This accelerates the discovery process, reduces miscommunication, and ensures requirements align closely with business objectives without replacing human validation or stakeholder collaboration.