Does it support industry-standard frameworks?

Yes, the skill is designed to work with frameworks such as the TSIA Framework, Customer Maturity Model, and Gainsight Playbooks.

Can it suggest proactive actions for at-risk accounts?

Absolutely. It identifies declining health indicators and recommends specific, actionable steps like proactive communication or strategic QBR meetings.

What metrics can this skill track?

It tracks essential KPIs including Net Revenue Retention (NRR), Gross Revenue Retention (GRR), Customer Health Score, NPS/CSAT, Expansion Revenue, and Logo Churn Rate.

How does it use project context?

It scans your memory.md and knowledge-base.md files to ensure the generated dashboards and recommendations align with your project's specific priorities and constraints.

Customer Success Analytics

Name: Customer Success Analytics
Author: komunite

bykomunite

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253

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Analíticas y Monitorización

Analyzes and generates professional support metrics dashboards using structured frameworks and quality controls.

This skill empowers Claude to act as a Customer Success Operations specialist, transforming raw data and business context into actionable support metrics dashboards. It leverages industry-standard frameworks like TSIA, Customer Health Scoring, and Maturity Models to provide deep insights into Net Revenue Retention (NRR), churn risks, and customer satisfaction. By integrating with your project's memory and knowledge base, it ensures every recommendation is context-aware and focused on driving measurable business outcomes through proactive communication and strategic planning.

Características Principales

01Structured output including executive summaries and implementation roadmaps

02Proactive risk identification and mitigation strategy planning

03253 GitHub stars

04Tracking for NRR, GRR, Churn Rate, and Time to First Value

05Implementation of Customer Health Score and TSIA frameworks

06Comprehensive support metrics dashboard generation and analysis

Casos de Uso

01Developing proactive outreach playbooks for accounts with declining health scores

02Analyzing customer support trends to identify and address churn risks

03Building a professional health dashboard for executive leadership reviews

Características Principales

01Structured output including executive summaries and implementation roadmaps

02Proactive risk identification and mitigation strategy planning

03253 GitHub stars

04Tracking for NRR, GRR, Churn Rate, and Time to First Value

05Implementation of Customer Health Score and TSIA frameworks

06Comprehensive support metrics dashboard generation and analysis

Casos de Uso

01Developing proactive outreach playbooks for accounts with declining health scores

02Analyzing customer support trends to identify and address churn risks

03Building a professional health dashboard for executive leadership reviews