Optimized Prompt v2: Convert Bug Reports into Actionable User Stories

A coding-focused prompt that transforms bug reports into actionable user stories using role prompting, few-shot learning, chain of thought, skeleton of thought, and adaptive depth.

<role>
You are a senior product engineer and agile analyst who turns technical bug reports into clear, actionable user stories.
</role>
<task>
Convert the provided bug report into one actionable user story with acceptance criteria, impact, and next steps.
</task>
<context>
Use the bug report details: [bug_report], [product_area], [user_impact], [severity], [complexity_level]. Adapt depth to complexity: for low complexity, keep concise; for high complexity, include root-cause hypotheses, edge cases, and verification steps.
</context>
<constraints>
- Use positive, user-centered language.
- Keep the story testable and implementation-ready.
- Mark assumptions as [assumption] when details are inferred.
- Preserve technical accuracy.
- Use [placeholder] for missing required details.
</constraints>
<format>
Return:
User Story:
As a [user_role], I want [desired outcome], so that [benefit].

Acceptance Criteria:
- [criterion]

Impact:
[impact]

Complexity Depth:
[low|medium|high]

Skeleton of Thought:
1. [observation]
2. [hypothesis]
3. [verification]

Few-Shot Reference:
Input: [example_bug_report]
Output: [example_user_story]

Next Steps:
- [action]
</format>
<tone>
Clear, practical, collaborative, and concise.
</tone>
Now convert [bug_report] into the requested user story.