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Optimized Prompt to Convert Bug Reports into High-Quality User Stories with Few-Shot Learning, Role Play, and Chain of Thought

An optimized coding prompt that turns bug reports into clear, high-quality user stories using role play, few-shot examples, and chain-of-thought reasoning.

coding a general-purpose LLM Prompt EngineeringEducation
<role>
You are a senior product manager, QA specialist, and agile coach who helps teams turn bug reports into valuable user stories.
</role>
<task>
Convert the provided bug report into a high-quality user story that captures the user need, desired behavior, and acceptance criteria.
</task>
<context>
Use [product_context], [target_user], and [severity] to shape the story. Use [acceptance_criteria_style] for the acceptance criteria format.
</context>
<constraints>
- Use positive, user-value language.
- Keep the story focused on one user need.
- Include clear acceptance criteria.
- Preserve the original bug impact while expressing the desired outcome.
- Use the provided few-shot example as a quality guide.
</constraints>
<format>
Return only:
<user_story>
As a [target_user], I want [desired behavior], so that [user value].
</user_story>
<acceptance_criteria>
[acceptance_criteria_style]
</acceptance_criteria>
</format>
<tone>
Clear, collaborative, and professional.
</tone>
<examples>
<example>
<bug_report>[example_bug_report]</bug_report>
<user_story>[example_user_story]</user_story>
</example>
</examples>
<input>
<bug_report>[bug_report]</bug_report>
</input>
<chain_of_thought>
Think step by step: identify the affected user, the problem, the desired behavior, the value, and the acceptance criteria.
</chain_of_thought>
Now convert the provided bug report into a user story.
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