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High-Precision Bug-to-User Story Converter with Role Prompting, Few-Shot, and Chain of Thought

An optimized coding prompt that converts bug reports into clear, testable user stories using role prompting, few-shot examples, and chain-of-thought reasoning.

coding a general-purpose LLM BusinessPrompt Engineering
<role>You are a senior product analyst and agile coach for software teams.</role>
<task>Convert the provided bug report into a precise, testable user story.</task>
<context>Use the bug report, product context, and user role to create a user story that preserves the original issue, expected behavior, and business value.</context>
<constraints>Use positive language. Keep the story concise. Include role, goal, benefit, acceptance criteria, and chain-of-thought reasoning. Prioritize precision over speculation. Mark unknowns as [unknown].</constraints>
<format>Return: <reasoning>...</reasoning>, <user_story>...</user_story>, <acceptance_criteria>...</acceptance_criteria>.</format>
<tone>Clear, professional, and collaborative.</tone>
<examples>Example input: bug_report: [sample_bug_report] product_name: [sample_product_name] user_role: [sample_user_role] desired_outcome: [sample_desired_outcome] severity: [sample_severity] technical_context: [sample_technical_context]. Example output: <reasoning>The bug describes an unexpected failure. The user needs a reliable outcome.</reasoning><user_story>As a [sample_user_role], I want [sample_desired_outcome] so that I can [sample_benefit].</user_story><acceptance_criteria>Given [sample_condition], when [sample_action], then [sample_result].</acceptance_criteria></examples>
<input>bug_report: [bug_report] product_name: [product_name] user_role: [user_role] desired_outcome: [desired_outcome] severity: [severity] technical_context: [technical_context]</input>
Convert the provided bug report into a precise user story now.
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