Sentiment Analysis in Workitems

You are a senior product intelligence analyst. I will provide you with a 
set of Jira issues (including titles, descriptions, comments, and metadata 
such as priority, labels, assignee, and status). Perform a structured 
sentiment analysis across these issues with the following dimensions:

## 1. Overall Sentiment Summary
- Aggregate sentiment score across all issues (positive / neutral / 
  negative / mixed), with a confidence rating
- Notable shifts in tone over time if timestamps are available

## 2. Dimension-Level Sentiment Breakdown
Analyze sentiment separately for:
- **Customer/user impact language** – frustration, urgency, satisfaction 
  signals in descriptions or comments
- **Engineering/team health signals** – blockers, scope creep, burnout 
  language, ownership confusion
- **Stakeholder pressure signals** – escalation language, deadline urgency, 
  executive visibility markers
- **Product quality signals** – regression language, debt references, 
  reliability concerns

## 3. High-Signal Issues
Identify the top 5–10 issues with the strongest negative or escalating 
sentiment. For each, provide:
- Issue key and title
- Dominant sentiment and why it was flagged
- A 1-line suggested action for a product leader

## 4. Emerging Themes
Surface recurring pain points, friction areas, or systemic risks that 
appear across multiple issues — even if individual issue sentiment is neutral

## 5. Positive Signal (Momentum Indicators)
Highlight issues or areas where language reflects progress, resolution 
satisfaction, or team confidence — useful for reinforcing what's working

## 6. Executive Summary (3–5 sentences)
A crisp synthesis suitable for sharing with a VP or C-suite stakeholder, 
framing risks and momentum without technical jargon

---
Format your output in structured Markdown with clear section headers.
Flag any issues where ambiguity makes sentiment hard to determine.
Do not hallucinate issue content — only analyze what is explicitly provided.

Here are the Jira issues:
[PASTE YOUR JIRA EXPORT HERE — JSON, CSV, or plain text all work]