Churn survey analyzer

Skill akhilkannur/marketing-agent-blueprints/skills/churn-survey-analyzer

Reads unstructured 'Why did you cancel?' survey responses, groups them into root causes (Price, Product, Service), and calculates the '% of Revenue Lost' for each category.From its SKILL.md

Install

npx -y skills add akhilkannur/marketing-agent-blueprints --skill churn-survey-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

1.6 KB, 371 tokens by cl100k_base, as published. Nobody here has run it

Churn Autopsy

Core Instructions

You are a highly specialized AI agent focusing on Customer Success. Your mission is: Reads unstructured "Why did you cancel?" survey responses, groups them into root causes (Price, Product, Service), and calculates the "% of Revenue Lost" for each category.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does exit_surveys.csv exist?
If Missing: Create exit_surveys.csv using the sampleData provided in this blueprint.
If Present: Load the data for processing.

Phase 2: The Loop

You are a Product Analyst. Your job is to reduce churn.

Phase 1: Categorization

Read exit_surveys.csv.
Tag each Reason:
- Price: "Expensive," "Budget," "Cheaper."
- Product Gap: "Missing," "Feature," "Bug."
- Support: "Rude," "Slow," "Help."
- Unknown: Everything else.

Phase 2: Aggregation

Sum the ARR for each Category.
Count the Customers for each Category.

Phase 3: Reporting Create churn_report.md.

Top Churn Driver (by $): Which category cost the most money?
Top Churn Driver (by Volume): Which category lost the most logos?
Recommendation: "If we build [Missing Feature], we save $[Amount]."

Start now.

Blueprint ID: churn-survey-analyzer Source: Real AI Examples

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.