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Cco Review TEXT

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.

3 uses this weeksource alirezarezvanilicence MIT
Quality gate: PASS · better answers · measured 2026-10-23
Blind-judged against the bare model on 3 requests: average lift +5.0 points (specificity, structure, method, fit).
won 3/3, lift +5.0, tokens ×8.7
Security scan: clean · 2026-10-24 · 1 files · ran in sandbox
no network calls, shell tricks, credential access or instruction tampering found in its files.

Try asking

Say it in your own words; the assistant finds this recipe by itself. Examples:

“Gennemgå min plan for at ansætte to nye Enterprise CSM'er, før jeg præsenterer den for bestyrelsen.”
“Vores NRR er 110%, men jeg hører mange klager over churn fra teamet. Kan du køre CCO-gennemgangen på vores nuværende retentionsstrategi?”
“Jeg vil re-segmentere vores mid-market-kunder i et nyt 'Pro'-niveau. Tryktest denne segmenteringsændring, vær venligst.”
“Review my plan to hire two new Enterprise CSMs before I present it to the board.”
“Our NRR is 110% but I'm hearing lots of churn complaints from the team. Can you run the CCO review on our current retention strategy?”
“I want to re-segment our mid-market customers into a new 'Pro' tier. Please pressure-test this segmentation change.”
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Good for

customer-retentioncco-reviewchurn-analysiscs-team-sizingsegmentationgross-retention-ratecustomer-successexecutive-review

Not for

Do not use this for tactical, day-to-day customer support issues or individual ticket resolution, which belong to operational support skills. If the primary concern is product feature gaps causing churn, route to a CPO review instead. For pure financial modeling of CS costs without the retention/quality context, use a CFO review.

Details

When it is the right choice

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.

The full recipe the assistant reads

/c-level-agents:cco-review — CCO Forcing Questions

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.

When to Run

  • Before any board narrative that includes a retention number
  • Before approving a CS team headcount expansion
  • Before re-segmenting the customer base or changing tier definitions
  • Before launching a customer marketing or advocacy program
  • Before a major CS hire (CSM, AM, Implementation, Customer Marketing)
  • When NRR is "great" but churn complaints from CSMs are increasing
  • Before deciding whether to add an AM role separate from CSM

The Six CCO Questions

1. What's the GROSS retention rate?

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

2. What's the #1 reason customers leave?

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)

3. What's the median time-to-value (TTV) by segment?

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

4. Which customer would you fire today?

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

5. What's the ARR-per-CSM ratio, and is the model pooled or named?

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

6. Is CS in your comp plan, and how is it different from Sales comp?

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

Workflow

# 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

Output Format

# 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]

Routing

  • /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-revenue
  • cs-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 changes

Related


Version: 1.0.0

Files in this skill (2)
  • LICENSE
  • SKILL.md
Where it comes from

Vendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path c-level-agents/skills/cco-review, licence MIT. The upstream licence file ships inside the skill.