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What Helps Systems Analysts Refine General Stakeholder Needs Into Actionable Specs?
Learn how generative AI transforms vague business goals for systems like HR onboarding into precise, actionable requirements, empowering analysts to guide effective system design and development.
Question
While working with a stakeholder who provides only general goals for a new HR onboarding system, you decide to use generative AI to refine their ideas.
How does generative AI support you in the systems analysis process?
A. It replaces stakeholder interviews by independently generating detailed and complete requirements for system development.
B. It focuses on performing coding and implementation tasks instead of helping to define or refine business requirements.
C. It helps transform vague business needs into clear, actionable requirements that guide system design.
D. It eliminates the need for human input by automatically creating clear and actionable requirements for every business situation.
Answer
C. It helps transform vague business needs into clear, actionable requirements that guide system design.
Explanation
Generative AI supports systems analysts when stakeholders provide only general goals—like “streamline HR onboarding”—by analyzing those high-level inputs through natural language processing to expand them into detailed, structured requirements, including functional specifications, user stories, process flows, edge cases, and acceptance criteria that directly inform system architecture and development.
For an HR onboarding system, AI might generate outputs like prioritized feature lists (e.g., automated document collection, role-based workflows), data models for employee records, integration points with payroll systems, and compliance checks for regulations, while flagging assumptions for validation. This refinement bridges the gap between abstract business objectives and technical implementation without replacing human oversight, enabling faster iteration, reduced misinterpretation, and alignment with stakeholder intent through traceable, editable drafts that analysts review and approve.