@alirezarezvani/chief-customer-officer-advisor

Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.

View in AI SkillSafe app
0 downloads
0 stars
0 demos
SKILL.md

Embed badges

Add these to your README to show the skill's verification status.

SkillSafe verified badge
Verified badge
[![SkillSafe verified badge](https://api.skillsafe.ai/v1/badge/@alirezarezvani/chief-customer-officer-advisor/verified)](https://skillsafe.ai/skill/@alirezarezvani/chief-customer-officer-advisor/)
Installs badge
Installs badge
[![Installs badge](https://api.skillsafe.ai/v1/badge/@alirezarezvani/chief-customer-officer-advisor/installs)](https://skillsafe.ai/skill/@alirezarezvani/chief-customer-officer-advisor/)
Scan badge
Scan badge
[![Scan badge](https://api.skillsafe.ai/v1/badge/@alirezarezvani/chief-customer-officer-advisor/scan)](https://skillsafe.ai/skill/@alirezarezvani/chief-customer-officer-advisor/)
Eval pass rate badge
Eval pass rate
[![Eval pass rate badge](https://api.skillsafe.ai/v1/badge/@alirezarezvani/chief-customer-officer-advisor/eval)](https://skillsafe.ai/skill/@alirezarezvani/chief-customer-officer-advisor/)