Table of Contents
What Prompt Turns Raw Project Comments Into Professional Requirements With Acceptance Criteria?
Learn the best generative AI prompting technique to convert disorganized stakeholder feedback into categorized user stories and acceptance criteria, creating ready-to-use requirements documents for development teams.
Question
During a project planning session, you receive a collection of informal stakeholder comments that include scattered ideas about system features, user pain points, and business goals. You want to turn these notes into a professional document that the development team can use.
What is an effective way to use generative AI to create a structured requirement document from this raw input?
A. Use a prompt that asks the AI to list all comments in a single paragraph with no categorization or formatting so they remain unchanged.
B. Use a prompt that instructs the AI to organize the stakeholder comments into structured user stories with clear acceptance criteria and logical grouping by topic.
C. Use a prompt that asks the AI to focus only on technical comments from the notes and ignore any business or user needs described by stakeholders.
D. Use a prompt that turns only one or two stakeholder comments into detailed requirements and leaves the rest of the input unused.
Answer
B. Use a prompt that instructs the AI to organize the stakeholder comments into structured user stories with clear acceptance criteria and logical grouping by topic.
Explanation
Generative AI effectively transforms informal stakeholder comments into a professional requirements document by using targeted prompts that direct it to categorize scattered ideas—such as feature requests, pain points, and goals—into thematic groups (e.g., user authentication, workflow automation), then format them as standardized user stories following the “As a [role], I want [feature] so that [benefit]” template, complete with specific, testable acceptance criteria in Gherkin syntax (Given/When/Then).
For instance, a vague comment like “onboarding takes too long” becomes “As a new hire, I want automated document submission so that I complete setup in under 15 minutes,” with criteria verifying upload limits, validation rules, and notifications, ensuring developers receive prioritized, traceable, and implementation-ready artifacts. This structured output, building on prior exam patterns of feedback-to-requirements conversion and prompt engineering, eliminates manual reformatting, highlights gaps or conflicts for analyst review, and accelerates handoff to development teams while preserving stakeholder intent across diverse inputs.