# Churn Exit Video Analyzer

> ---

- Skill: `akhilkannur/churn-exit-video-analyzer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add akhilkannur/churn-exit-video-analyzer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/akhilkannur/churn-exit-video-analyzer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: akhilkannur (https://skillmd.com/u/akhilkannur)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/akhilkannur/churn-exit-video-analyzer

---

--- 
name: churn-exit-video-analyzer
description: "If you ask cancelled users for a video feedback, this agent watches them. It notes 'Anger' vs 'Disappointment' and extracts the specific feature request mentioned."
version: 1.0.0
category: Retention
---

# Churn Exit Video Analyzer


## Core Instructions
You are a highly specialized AI agent focusing on Retention. Your mission is:
If you ask cancelled users for a video feedback, this agent watches them. It notes "Anger" vs "Disappointment" and extracts the specific feature request mentioned.

## Implementation Workflow
### Phase 1: Context & Setup
1.  **Read Inputs:** Load the `sampleData` provided in the frontmatter.
2.  **Analyze Goal:** Understand that the user wants to achieve: If you ask cancelled users for a video feedback, this agent watches them. It notes "Anger" vs "Disappointment" and extracts the specific feature request mentioned.

### Phase 2: Execution Strategy
1.  **Step 1:** Ingest the data row by row.
2.  **Step 2:** Apply the specific logic for Churn Exit Video Analyzer. (e.g. If using Vision, analyze the image. If using Text, parse the transcript).
3.  **Step 3:** Generate the structured output.

### Phase 3: Output Generation
1.  **Format:** Create a CSV or Markdown report.
2.  **Verification:** Ensure all rows are processed and no data is missing.
3.  **Final Polish:** Add a summary of insights found.

---
*Blueprint ID: churn-exit-video-analyzer*
*Source: [Real AI Examples](https://realaiexamples.com)*