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churn-autopsy

Analyze client churn data to identify root causes and preventive measures.

Updated Aug 27, 2026
Search Tags:#root cause analysis#post-mortem#churn analysis#client retention#preventive measures
One-click install
npx skills add https://github.com/pmkshar/marqaiskills --skill churn-autopsy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: churn-autopsy
Source: https://github.com/pmkshar/marqaiskills/tree/main/churn-autopsy
Command: npx skills add https://github.com/pmkshar/marqaiskills --skill churn-autopsy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured approach to analyze client churn, identifying root causes and offering preventive measures.

Core Features & Use Cases

  • Post-mortem Analysis: Analyze client history, engagement data, support tickets, usage logs, and exit feedback.
  • Root Cause Classification: Classify churn into primary and contributing factors.
  • Timeline of Decline: Track the chronological narrative of the account's deterioration.
  • Preventive Measures: Offer recommendations to prevent future churn.

Quick Start

Use the churn-autopsy skill to analyze client churn and generate a comprehensive report.

Frequently Asked Questions about churn-autopsy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a post-mortem analysis for client churn?▼

Post-mortem analysis for client churn requires reviewing historical data, engagement metrics, support interactions, usage logs, and exit feedback to identify root causes and track the timeline of account decline.

What is root cause classification in churn analysis?▼

Root cause classification in churn analysis categorizes client loss into primary and contributing factors, using historical data and usage logs to isolate the specific reasons behind account deterioration.

Do I need CRM access to analyze client retention and exit feedback?▼

Yes, analyzing client retention and exit feedback requires access to CRM, analytics tools, and usage logs to gather the historical engagement data needed for comprehensive churn analysis.

How do I track the timeline of decline for a churned client?▼

Track the timeline of decline by chronologically mapping account deterioration using engagement metrics, support interactions, and usage logs to build a narrative of the client's progression toward churn.

What's the best way to identify preventive measures for client churn?▼

Identify preventive measures for client churn by analyzing historical data and exit feedback to isolate root causes, then generating targeted recommendations to stop future account deterioration.

Can I analyze support tickets and usage logs together to find churn root causes?▼

Yes, you can analyze support tickets and usage logs together alongside engagement metrics and exit feedback to classify primary and contributing root causes of client churn.

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