Table of Contents
What Key Factor Makes Generative AI Stakeholder Interview Questions More Effective?
Explore why identifying stakeholder roles and customizing generative AI prompts is essential for creating targeted interview questions that uncover critical business insights efficiently.
Question
Which factor is most important when using generative AI to design stakeholder interview questions?
A. Using predefined templates, waiting to adjust for context for later stages in development
B. Avoiding technical or business terms in prompts for simplicity
C. Identifying stakeholder roles and tailoring questions to their specific priorities
D. Asking every stakeholder the same set of general questions
Answer
C. Identifying stakeholder roles and tailoring questions to their specific priorities
Explanation
When using generative AI to design stakeholder interview questions, the most critical factor is identifying stakeholder roles—such as end-users, executives, or technical leads—and tailoring prompts to their unique priorities, perspectives, and expertise levels. This ensures AI-generated questions are relevant, targeted, and effective at eliciting valuable insights, as generic prompts often produce superficial or mismatched outputs that fail to address role-specific pain points, goals, or decision-making contexts. By incorporating details like “Generate 10 questions for a CFO focused on cost optimization in ERP implementation,” the AI delivers precise, actionable questions that enhance elicitation quality and stakeholder engagement over uniform or delayed approaches.