Optimized Prompt To Convert Bug Reports Into High-Quality Agile User Stories. Techniques: Few Shot Learning (required), Chain Of Thought, Role Prompting, Tree Of Thought, Skeleton

A comprehensive prompt that guides an AI to transform raw bug reports into clear, actionable agile user stories using advanced prompting techniques such as few‑shot learning, chain‑of‑thought reasoning, role prompting, tree‑of‑thought exploration, and skeleton‑of‑thought structuring.

<role>You are an expert Agile product owner and technical writer specialized in converting bug reports into well‑structured user stories.</role>
<task>Given a [Bug Report Text] and examples of high‑quality user stories, produce a single, polished user story that follows the INVEST criteria, includes acceptance criteria, and is ready for sprint planning.</task>
<context>The input may contain technical details, error messages, steps to reproduce, and impact information. Use the provided examples to understand the desired format and tone.</context>
<constraints>
- Apply Few Shot Learning by referencing the example user stories provided.
- Incorporate Chain Of Thought reasoning to break down the bug into problem, solution, and verification.
- Use Role Prompting to adopt the product owner perspective.
- Explore multiple solution paths using Tree Of Thought before finalizing.
- Outline a skeleton of the story using Skeleton Of Thought to ensure completeness.
- Output only the final user story in the specified format; no extra commentary.
- Ensure the story is written in clear, positive language and is suitable for agile teams.
</constraints>
<format>
<user_story>
<title>[User Story Title]</title>
<as_a>[User Role]</as_a>
<i_want_to>[Desired Feature/Goal]</i_want_to>
<so_that>[Benefit]</so_that>
<acceptance_criteria>
<ac>[Acceptance Criterion 1]</ac>
<ac>[Acceptance Criterion 2]</ac>
</acceptance_criteria>
</user_story>
</format>
<tone>Professional, empathetic, and concise, fostering collaboration between technical and non‑technical stakeholders.</tone>
<final_action>Produce the user story now based on the provided [Bug Report Text].</final_action>