How does this help with Quarterly Business Reviews (QBRs)?

The skill provides both the data analysis tools to generate health metrics and pre-formatted templates to structure your QBR presentations effectively.

What data format is required for the analysis to work?

The tools accept structured JSON files. Detailed schema requirements for customer usage, engagement, and contract data are provided in the skill documentation.

Does this skill require an internet connection or external APIs?

No, the included Python tools use the standard library only and require no external API calls, making them secure for sensitive customer data analysis.

Can I customize the weighting for health scores?

Yes, while the skill provides industry-standard defaults, the underlying Python scripts can be calibrated to match your specific business model and segment benchmarks.

Is the churn risk prediction based on machine learning?

No, it uses deterministic, weighted algorithmic scoring based on industry-standard behavioral signals, ensuring the results are explainable and repeatable.

Customer Success Manager

Name: Customer Success Manager
Author: alirezarezvani

byalirezarezvani

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9,958

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분석 및 모니터링

Analyzes SaaS customer health, predicts churn risk, and identifies expansion opportunities using deterministic scoring models.

The Customer Success Manager skill transforms Claude into a data-driven analyst for SaaS portfolios. It provides three specialized Python CLI tools that utilize weighted scoring models to evaluate customer health, categorize churn risk into actionable tiers, and pinpoint upsell or expansion opportunities across Enterprise, Mid-Market, and SMB segments. By using deterministic algorithms rather than unpredictable ML models, it ensures repeatable and transparent metrics that are ideal for preparing Quarterly Business Reviews (QBRs), developing retention playbooks, and reporting on Net Revenue Retention (NRR).

주요 기능

01Expansion opportunity identification for upsell, cross-sell, and seat growth.

02Deterministic Python CLI tools with zero external dependencies or API requirements.

03Tiered churn risk analysis with prioritized intervention recommendations.

04Multi-dimensional health scoring across usage, engagement, support, and relationship metrics.

059,958 GitHub stars

06Comprehensive templates for QBRs, success plans, and executive business reviews.

사용 사례

01Generating prioritized expansion reports to hit growth targets within existing accounts.

02Creating data-driven documentation and presentations for stakeholder and executive reviews.

03Automating portfolio-wide health checks to identify at-risk accounts before renewal cycles.

주요 기능

01Expansion opportunity identification for upsell, cross-sell, and seat growth.

02Deterministic Python CLI tools with zero external dependencies or API requirements.

03Tiered churn risk analysis with prioritized intervention recommendations.

04Multi-dimensional health scoring across usage, engagement, support, and relationship metrics.

059,958 GitHub stars

06Comprehensive templates for QBRs, success plans, and executive business reviews.

사용 사례

01Generating prioritized expansion reports to hit growth targets within existing accounts.

02Creating data-driven documentation and presentations for stakeholder and executive reviews.

03Automating portfolio-wide health checks to identify at-risk accounts before renewal cycles.