Add PRD for Organization Code Review Bot

Defines the problem statement, goals, user personas, and key use cases for a
first-class org-specific code review bot with telemetry and one-click remediation.

Co-authored-by: openhands <openhands@all-hands.dev>

enterprise/doc/design-doc/org-code-review-bot-prd.md

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+# Organization Code Review Bot - PRD
+
+## Problem Statement
+
+### Engineering Leader Perspective
+
+AI coding agents have made code generation cheap, but verification remains the bottleneck. Engineering leaders lack visibility into:
+- **Review quality**: How effective are AI-generated code reviews vs. human reviews?
+- **Developer engagement**: Are developers acting on AI review feedback?
+- **Organizational patterns**: What recurring feedback themes exist across the organization that could be codified?
+
+Without telemetry, orgs cannot measure ROI of AI-assisted code review or systematically improve their review standards.
+
+### Developer Perspective
+
+Current AI code reviews produce itemized feedback, but acting on that feedback is manual and disconnected:
+- Developers must context-switch to address each review item separately
+- No one-click path from "review comment" → "fix implementation"
+- No feedback loop to help the AI learn which suggestions are valuable vs. noise
+
+## Goals
+
+1. **One-click remediation**: Enable developers to launch an OpenHands conversation directly from a review item to address it
+2. **Org-wide telemetry**: Track accept/dismiss rates on review items to measure review quality and surface patterns
+3. **Learned review standards**: Distill recurring org-specific feedback into a lightweight review standard the bot applies automatically
+4. **Verification signals**: Integrate code survival metrics (what % of AI-written code survives to merge) to predict review quality
+
+## User Personas
+
+| Persona | Description |
+|---------|-------------|
+| **Developer** | Uses the bot to get PR reviews and quickly address feedback items via one-click OpenHands sessions |
+| **Tech Lead** | Reviews org-wide feedback patterns to identify common issues and improve team coding standards |
+| **Engineering Manager** | Monitors accept/dismiss telemetry to assess AI review effectiveness and developer adoption |
+| **Platform Engineer** | Configures org-specific review rules and integrates the bot with existing CI/CD workflows |
+
+## Key Use Cases
+
+### 1. One-Click Review Item Remediation
+- Developer receives AI code review with itemized feedback
+- Each feedback item has a "Fix with OpenHands" button that launches a scoped conversation to address that specific issue
+- Context (diff, review comment, file) is automatically passed to the agent
+
+### 2. Accept/Dismiss Feedback Telemetry
+- Developers can mark review items as "Agree & Fix" or "Dismiss"
+- Org-wide dashboard shows aggregate accept/dismiss rates per review category
+- Identifies high-value feedback patterns vs. low-signal noise
+
+### 3. Org-Specific Review Standards
+- Platform engineer configures org-specific review rules (e.g., "always check for error handling in API routes")
+- Bot learns from historical code reviews to surface org-specific patterns
+- Review standards are versioned and auditable
+
+### 4. Code Survival Metrics
+- Track what fraction of AI-suggested changes make it into the merged PR
+- Surface low-survival patterns to improve review prompt quality
+- Use survival signals to predict whether a review item is likely to be addressed
+
+### 5. Review Quality Dashboard
+- Engineering managers see per-team and per-repo review effectiveness metrics
+- Trending view of common feedback categories over time
+- Alerts when review quality drops or dismiss rates spike