codexkit-churn-risk-analyzer

Score customer health dimensions and segment accounts into Healthy, At-Risk, or Red.

21|12|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/hoavdc/CodexKit --skill codexkit-churn-risk-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codexkit-churn-risk-analyzer
Source: https://github.com/hoavdc/CodexKit/tree/main/skills/codexkit-churn-risk-analyzer
Command: npx skills add https://github.com/hoavdc/CodexKit --skill codexkit-churn-risk-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill builds reliable customer health scores and churn risk models to guide proactive retention actions, enabling teams to focus on the accounts most at risk and to tailor intervention strategies.

Core Features & Use Cases

  • Define health dimensions (Usage, Engagement, Support, Sentiment, Contract) with weights to reflect business priorities.
  • Score each dimension, compute an overall Health Score, and segment accounts into Healthy / At-Risk / Red.
  • Generate concrete intervention playbooks and executive-ready summaries for QBRs, reviews, and customer-success planning.
  • Export or present health insights to drive proactive outreach, renewals, and account strategy.

Quick Start

Provide the customer health data and renewal information to generate scores and intervention playbooks.

Frequently Asked Questions about codexkit-churn-risk-analyzer

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

FAQPage Schema
How do I calculate customer health scores to predict B2B churn risk?

Customer health scores are calculated by defining weighted dimensions like Usage, Engagement, Support, Sentiment, and Contract. You score each dimension for your accounts, compute an overall Health Score, and segment portfolios into Healthy, At-Risk, or Red to guide proactive retention actions.

What is the best way to segment accounts for churn risk interventions?

The best way to segment accounts for churn risk is by scoring weighted health dimensions to compute an overall score. This segments your portfolio into Healthy, At-Risk, and Red categories, allowing you to generate concrete intervention playbooks tailored to each risk level.

Can I generate intervention playbooks for at-risk accounts during QBRs?

Yes, you can generate intervention playbooks and executive-ready summaries for QBRs and health reviews. By scoring customer health dimensions and segmenting accounts into risk categories, you produce actionable strategies to drive proactive outreach and renewals.

How do I define the right weights for customer success health dimensions?

You define weights for customer success health dimensions based on your specific business priorities. By assigning relative weights to dimensions like Usage, Engagement, Support, Sentiment, and Contract, the computed Health Score accurately reflects your retention priorities.

Does this churn risk analyzer work for sudden churn spikes in my portfolio?

Yes, this churn risk analyzer is designed to be applied during churn spikes. By rapidly scoring customer health dimensions and segmenting accounts into risk categories, it identifies which accounts require immediate intervention playbooks to mitigate proactive retention.

What data do I need to provide to generate a customer health score?

To generate a customer health score, you need to provide customer health data and renewal information. This input is used to score defined dimensions like Usage, Engagement, Support, Sentiment, and Contract, ultimately computing the overall health score and risk segmentation.