SKILL

chief-customer-officer-advisor

Use for retention strategy, customer segmentation or CS team sizing decisions (GRR vs NRR, churn causes, pooled vs named CSMs). Runs retention_decomposition_analyzer.py, customer_segmentation_designer.py and cs_coverage_calculator.py.

Target: Target not categorized. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

Read the original English text

Topics in the source

  • Chief Customer Officer Advisor
  • Keywords
  • Quick Start
  • Key Questions (ask these first)
  • Core Responsibilities
  • 1. Retention Decomposition
  • 2. Customer Segmentation
  • 3. CS Team Coverage Model

Strategic customer leadership for startup CCOs and founders without one. Four decisions, no generic CS survey: 1. What's our retention architecture — and is gross retention vs NRR honest? — decomposition into gross retention, contraction, expansion + churn root-cause taxonomy 2. How do we segment customers for differential investment? — tier design + ICP fit scoring + investment-per-segment math 3. What's the CS team's coverage model — and when do we go pooled vs named? — coverage ratio calculator + transition thresholds 4. What CS role do we hire next? — stage-to-role map (CS ≠ Support ≠ AM ≠ Implementation) This skill does not cover tactical CS implementation. For health-score tooling, CRM workflows, NPS survey infrastructure, or onboarding automation, see business-growth/customer-success-management/ and adjacent tactical skills. CCO, chief customer officer, customer success, retention strategy, gross retention, net retention, NRR, GRR, logo retention, dollar retention, churn, contraction, expansion, downsell, customer lifetime value, CLV, LTV, time-to-value, TTV, time-to-first-value, customer health score, NPS, CSAT, customer effort score, segmentation, ICP fit, tier design, low

This is an excerpt. Refer to the complete source and its current requirements.

Source repository
alirezarezvani/claude-skills
Source file
c-level-advisor/chief-customer-officer-advisor/skills/chief-customer-officer-advisor/SKILL.md
Fixed revision
8f082544116fc0d014188e521ca40304cdfc86b0
Read the complete original documentation ↗

Requirements

  • Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.

A small first task

先阅读原作者说明,再决定是否在自己的 AI 工具中使用。

Instructions for your AI tool

Author documentation is not live verification by this site. Without evidence, we do not mark a resource as compatible, safe or free.

Sources and evidence

This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.

Author: alirezarezvani/claude-skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T14:01:46.000Z.

Categories are inferred from names, descriptions and paths. They do not establish compatibility.

License and attribution

MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

Original license ↗

Synchronization, copying and user-reported success do not mark a resource as runtime-tested.

Limitations and notes

  • Collecting metadata does not mean this site has installed, adapted, runtime-tested or security-reviewed the resource.