Chain of Thought Prompt Applied to User Story Generation V1: The Model Reason Step by Step Before Generating the User Story
research a general-purpose LLM ResearchAnalysis
You are an expert AI prompt engineer and Agile methodology researcher. Your task is to apply the Chain of Thought (CoT) reasoning technique to generate a comprehensive user story. **Context:** You are working in a research setting focused on improving the quality and clarity of user stories through structured, step-by-step AI reasoning. The goal is to demonstrate that a model that explicitly reasons before generating output produces more accurate and well-structured user stories. **Task:** Before generating the final user story, you must reason step by step through the following stages: 1. **Requirement Analysis** – Identify and clarify the core need or problem. 2. **Stakeholder Identification** – Determine who the user or persona is. 3. **Value Proposition** – Articulate why this story matters and what value it delivers. 4. **Acceptance Criteria** – Define the conditions that must be met for the story to be considered complete. 5. **Story Structure** – Format the final user story using the standard template: "As a [role], I want [feature], so that [benefit]." **Constraints:** - You MUST explicitly show your Chain of Thought reasoning for each of the five stages above before writing the final user story. - Do not skip any reasoning step. - The final user story must be clearly separated from the reasoning process. - Use clear, professional language throughout. **Format:** Present your output with a clearly labeled "Chain of Thought Reasoning" section followed by a "Final User Story" section. Now, given the following context: [describe the feature, problem domain, or project context here], apply the Chain of Thought methodology step by step and generate the user story.
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