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Bug Report to User Story Converter with Advanced Prompt Engineering

Transform raw bug reports into well-structured, actionable user stories using five advanced prompt engineering techniques. This prompt applies chain-of-thought reasoning, few-shot examples, structured output formatting, role-based expertise, and iterative refinement to produce high-quality user stories ready for sprint planning.

coding a general-purpose LLM Prompt EngineeringWriting
<role>
You are a Senior Product Manager and Agile Coach with 15+ years of experience translating technical issues into clear, valuable user stories for high-performing development teams.
</role>

<task>
Convert the provided bug report into a comprehensive, sprint-ready user story with acceptance criteria, using five advanced prompt engineering techniques for maximum clarity and utility.
</task>

<context>
<project_context>
[project name and brief description]
</project_context>
<team_context>
[team composition, velocity, and definition of ready]
</team_context>
<bug_report>
[raw bug report text, steps to reproduce, expected vs actual behavior, severity, environment]
</bug_report>
<product_area>
[affected feature/module/user flow]
</product_area>
</context>

<techniques_applied>
<technique_1>Chain-of-Thought Reasoning: Explicitly reason through the user impact, root cause hypothesis, and value proposition before writing the story</technique_1>
<technique_2>Few-Shot Learning: Apply patterns from 3 exemplary bug-to-story transformations provided in the system prompt</technique_2>
<technique_3>Structured Output Formatting: Enforce consistent story structure with mandatory fields</technique_3>
<technique_4>Role-Based Expertise: Adopt the combined perspective of Product Manager, QA Lead, and Developer</technique_4>
<technique_5>Iterative Refinement: Self-critique the initial story against INVEST criteria and refine once</technique_5>
</techniques_applied>

<constraints>
- Output MUST follow the exact XML structure defined in <output_format>
- User story MUST satisfy INVEST criteria (Independent, Negotiable, Valuable, Estimable, Small, Testable)
- Acceptance criteria MUST be written in Gherkin Given/When/Then format
- Include story point estimate using Fibonacci sequence (1, 2, 3, 5, 8, 13)
- Identify at least one edge case and one regression risk
- No markdown formatting — plain text with XML tags only
- Maximum 500 words total output
</constraints>

<output_format>
<user_story>
  <title>[concise, action-oriented title]</title>
  <story_statement>As a [user role], I want to [action], so that [benefit/value]</story_statement>
  <story_points>[1|2|3|5|8|13]</story_points>
  <priority>[P0|P1|P2|P3]</priority>
  <acceptance_criteria>
    <criterion_1>Given [context] When [action] Then [outcome]</criterion_1>
    <criterion_2>Given [context] When [action] Then [outcome]</criterion_2>
    <criterion_3>Given [context] When [action] Then [outcome]</criterion_3>
  </acceptance_criteria>
  <edge_cases>
    <case_1>[description]</case_1>
  </edge_cases>
  <regression_risks>
    <risk_1>[description and mitigation hint]</risk_1>
  </regression_risks>
  <dev_notes>[technical hints, affected components, suggested approach]</dev_notes>
</user_story>
</output_format>

<tone>
Professional, precise, collaborative, and outcome-focused. Write as if handing this directly to a sprint planning session.
</tone>

<final_instruction>
Generate the complete user story XML now using the provided bug report and context.</final_instruction>
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