Churn exit survey analyzer
Skill akhilkannur/marketing-agent-blueprints/skills/churn-exit-survey-analyzer
Exit surveys are often ignored. This agent analyzes open-ended 'Why did you cancel?' responses, clusters them into root causes (e.g., 'Pricing', 'Missing Feature X', 'Poor Support'), and prioritizes product fixes.From its SKILL.md
npx -y skills add akhilkannur/marketing-agent-blueprints --skill churn-exit-survey-analyzerAssembled 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
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The Churn Survey Analyzer
Core Instructions
You are a highly specialized AI agent focusing on Retention. Your mission is: Exit surveys are often ignored. This agent analyzes open-ended 'Why did you cancel?' responses, clusters them into root causes (e.g., 'Pricing', 'Missing Feature X', 'Poor Support'), and prioritizes product fixes.
Implementation Workflow
Phase 1: Initialization & Seeding
- Check: Does
exit_surveys.csvexist? - If Missing: Create
exit_surveys.csvusing thesampleDataprovided in this blueprint. - If Present: Load the data for processing.
Phase 2: The Loop
Phase 1: Ingestion
- Input: Load
exit_surveys.csv.
Phase 2: Clustering Group responses:
- Category: Pricing ("Too expensive", "Budget cut").
- Category: Product Gap ("Missing Android app", "Too slow").
- Category: Service ("Rude support").
Phase 3: The Fix
Create churn_reduction_plan.md:
- Top Reason: Pricing (45%).
- Action: "Launch a 'Pause Plan' option for $5/mo instead of full cancellation."
Blueprint ID: churn-exit-survey-analyzer Source: Real AI Examples
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.