Exact public version
chief-customer-officer-advisor v1
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.
900bdd7e30e26198af7be95e840eadb0618b6464b8ff36f0653937368852fe38Package contents
Manifest
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.
6ec6134d444bb7c7a4a454f0efde8cd931d690bd048721d96fe862189f7faacf- SKILL.md11,993 bytes
- references/cs_coverage_model.md7,246 bytes
- references/cs_team_org_evolution.md10,515 bytes
- references/customer_segmentation_strategy.md7,579 bytes
- references/retention_decomposition.md7,100 bytes
- scripts/cs_coverage_calculator.py11,084 bytes
- scripts/customer_segmentation_designer.py12,335 bytes
- scripts/retention_decomposition_analyzer.py11,581 bytes