Performs a rigorous CCO-level interrogation of plans involving customer retention, segmentation, or CS team structure. It applies six specific forcing questions regarding Gross Retention Rate, churn drivers, time-to-value, and coverage models to produce a ship/sharpen/block verdict.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when evaluating plans that impact customer retention, such as approving new CSM headcount, re-segmenting the customer base, or launching customer advocacy programs. It is critical when Gross Retention Rate (GRR) is slipping or when NRR is high but churn complaints are increasing. It is also appropriate before making major hiring decisions in Customer Success or defining CS compensation structures.
Command: /c-level-agents:cco-review <plan>
The retention-obsessed CCO pressure-tests any plan that touches customer experience. Six questions before any retention claim, segmentation change, CS team expansion, or major CS hire.
Not NRR. Gross. NRR can hide a leaky bucket behind expansion.
- GRR healthy ≥ 90% at growth stage, ≥ 95% at scale
- If GRR < 85% but NRR > 100%, the product is failing for 15%+ of customers; expansion is masking the failure
- Run retention_decomposition_analyzer.py
If you can't name it, you don't understand churn. - 7-category taxonomy: product_fit / competitor_loss / no_value_realized / pricing / champion_left / company_event / tactical_failure - Preventable churn = product_fit + no_value_realized + tactical_failure - If preventable > 50%, CS has clear leverage; if < 30%, churn is structural (ICP, market, competition)
Long TTV signals different problems by segment. - Long TTV in low tier = ICP misfit; downgrade or kill - Long TTV in high tier = onboarding broken; fix the Implementation Manager handoff - TTV is a leading indicator of GRR
If "none" — your segmentation is broken.
- Some accounts cost more than they earn (support cost > 50% of ARR + low ICP fit)
- Run customer_segmentation_designer.py to surface kill list
- The 3 paths for kill candidates: non-renewal / downgrade-to-tech-touch / raise-price-to-cost-recover
Wrong model wastes capacity.
- Strategic: named + exec sponsor, $300K-$1M ARR/CSM
- Enterprise: named, $500K-$2M
- Mid-market: pooled, $2M-$5M
- SMB: tech-touch, $5M+
- Run cs_coverage_calculator.py to size the team
Misalignment is the leading indicator of CS failure. - CS comp: 70/30 base/variable typical - Variable: 50% gross retention + 30% net retention + 20% activity - Anti-pattern: comp CSMs on NPS — they game it - Anti-pattern: comp CSMs same as Sales — they sell instead of serve
# 1. Retention decomposition (always start here)
python ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py cohorts.json
# 2. Segmentation audit
python ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/customer_segmentation_designer.py customers.json
# 3. Coverage sizing (if making CS team changes)
python ${CLAUDE_PLUGIN_ROOT}/vendor/c-level-advisor/chief-customer-officer-advisor/scripts/cs_coverage_calculator.py book.json
# CCO Review: <plan>
**Date:** YYYY-MM-DD
## The Decision Being Made
[one sentence — retention | segmentation | coverage | next hire]
## Retention (if applicable)
- GRR: X% (vs vanity NRR of Y%)
- Top churn driver: <category> at X% of churn
- Preventable churn: X% (CS-controllable)
- Leaky-bucket pattern? yes/no
## Segmentation (if applicable)
- Tier distribution: Strategic X / Enterprise X / Mid-market X / SMB X
- Kill list size: N customers (X% of customers, Y% of ARR)
- Upgrade candidates: N
## Coverage (if applicable)
- Current CSMs: N | Required now: M | Required 12mo: P
- Annual cost (12mo): $X
- Manager trigger fired: yes/no
## Org (if applicable)
- Next hire: <CSM | Support | AM | IM | CS Ops | Customer Marketing>
- Why this, not the alternative: <one line>
- Customer outcome unblocked: <specific>
## Verdict
🟢 SHIP | 🟡 SHARPEN | 🔴 BLOCK
## Next Steps
[3 concrete actions]
/c-level-agents:cpo-review — if churn root cause is product_fit or no_value_realized/c-level-agents:cro-review — if expansion math or comp alignment is in question/c-level-agents:cfo-review — for CS cost commitments and retention-impact-on-revenuecs-chro-advisor agent — for CS hires, comp, ladder/c-level-agents:decide — log the verdict/c-level-agents:freeze 30 — on multi-year CS comp plan changescs-cco-advisorchief-customer-officer-advisor../../../business-growth/ (tactical CS execution)Version: 1.0.0
LICENSESKILL.mdVendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path c-level-agents/skills/cco-review, licence MIT. The upstream licence file ships inside the skill.