cco-review
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Original
English🇨🇳
Translation
Chinese/cs:cco-review — CCO Forcing Questions
/cs:cco-review — CCO核心质询问题
Command:
/cs: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.
命令:
/cs:cco-review <plan>以留存为核心的首席客户官(CCO)会对所有涉及客户体验的计划进行压力测试。在提出任何留存主张、调整客户细分、扩张CS团队或进行重大CS招聘前,需先回答以下六个问题。
When to Run
适用场景
- 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
- 在任何包含留存数据的董事会汇报之前
- 在批准CS团队人员编制扩张之前
- 在重新划分客户群体或调整客户层级定义之前
- 在启动客户营销或客户推荐计划之前
- 在进行重大CS岗位招聘之前(客户成功经理CSM、客户经理AM、实施专员、客户营销专员)
- 当净留存率(NRR)表现“良好”但CSM反馈的客户流失投诉不断增加时
- 在决定是否增设独立于CSM的客户经理(AM)岗位之前
The Six CCO Questions
六个CCO核心问题
1. What's the GROSS retention rate?
1. 总留存率(GRR)是多少?
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
不是净留存率(NRR),是总留存率。 NRR可能会通过业务扩张掩盖客户流失的漏洞。
- 增长阶段健康的GRR≥90%,规模化阶段≥95%
- 如果GRR<85%但NRR>100%,说明产品对15%以上的客户失效,业务扩张只是掩盖了这一问题
- 运行脚本分析
retention_decomposition_analyzer.py
2. What's the #1 reason customers leave?
2. 客户流失的首要原因是什么?
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)
如果无法明确说明,就意味着你根本不了解客户流失。
- 7类分类体系:product_fit(产品适配度)/ competitor_loss(竞品抢夺)/ no_value_realized(未实现价值)/ pricing(价格因素)/ champion_left(关键联系人离职)/ company_event(客户公司变动)/ tactical_failure(战术失误)
- 可预防流失 = product_fit + no_value_realized + tactical_failure
- 如果可预防流失占比>50%,CS团队有明确的优化空间;如果<30%,则流失是结构性问题(目标客户画像ICP、市场环境、竞争格局)
3. What's the median time-to-value (TTV) by segment?
3. 各客户细分群体的中位价值实现时间(TTV)是多少?
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
较长的TTV反映不同细分群体存在不同问题。
- 低层级客户TTV长 = 目标客户画像(ICP)匹配度差;建议降级服务或终止合作
- 高层级客户TTV长 = 入职流程存在问题;需优化实施经理的交接环节
- TTV是总留存率(GRR)的领先指标
4. Which customer would you fire today?
4. 你今天会放弃哪类客户?
If "none" — your segmentation is broken.
- Some accounts cost more than they earn (support cost > 50% of ARR + low ICP fit)
- Run to surface kill list
customer_segmentation_designer.py - The 3 paths for kill candidates: non-renewal / downgrade-to-tech-touch / raise-price-to-cost-recover
如果回答“没有”——说明你的客户细分体系存在问题。
- 部分客户的服务成本高于其带来的收益(支持成本>ARR的50% + ICP匹配度低)
- 运行脚本筛选出需放弃的客户列表
customer_segmentation_designer.py - 针对需放弃客户的三种处理路径:不续约 / 降级至技术自助服务 / 提价以覆盖成本
5. What's the ARR-per-CSM ratio, and is the model pooled or named?
5. 每位CSM对应的ARR(年度经常性收入)是多少?采用的是集中式还是专属式服务模式?
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 to size the team
cs_coverage_calculator.py
错误的模式会浪费团队产能。
- 战略客户:专属式+高管对接,每位CSM对应$300K-$1M ARR
- 企业客户:专属式,每位CSM对应$500K-$2M ARR
- 中端市场客户:集中式,每位CSM对应$2M-$5M ARR
- SMB客户:技术自助服务,每位CSM对应$5M+ ARR
- 运行脚本规划团队规模
cs_coverage_calculator.py
6. Is CS in your comp plan, and how is it different from Sales comp?
6. CS团队的薪酬计划是否明确?与销售团队的薪酬计划有何不同?
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
目标不一致是CS团队失败的主要诱因。
- CS团队薪酬:通常为70%固定薪资+30%浮动薪资
- 浮动薪资构成:50%总留存率 + 30%净留存率 + 20%工作活跃度
- 反模式:以NPS为CSM的考核指标——他们会刻意操纵数据
- 反模式:CS团队与销售团队采用相同的薪酬体系——CSM会侧重销售而非服务
Workflow
工作流程
bash
undefinedbash
undefined1. Retention decomposition (always start here)
1. 留存分解分析(始终从这里开始)
python ../../../skills/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py cohorts.json
python ../../../skills/chief-customer-officer-advisor/scripts/retention_decomposition_analyzer.py cohorts.json
2. Segmentation audit
2. 客户细分审核
python ../../../skills/chief-customer-officer-advisor/scripts/customer_segmentation_designer.py customers.json
python ../../../skills/chief-customer-officer-advisor/scripts/customer_segmentation_designer.py customers.json
3. Coverage sizing (if making CS team changes)
3. 团队覆盖规模规划(若调整CS团队)
python ../../../skills/chief-customer-officer-advisor/scripts/cs_coverage_calculator.py book.json
undefinedpython ../../../skills/chief-customer-officer-advisor/scripts/cs_coverage_calculator.py book.json
undefinedOutput Format
输出格式
markdown
undefinedmarkdown
undefinedCCO Review: <plan>
CCO审核:<plan>
Date: YYYY-MM-DD
日期: YYYY-MM-DD
The Decision Being Made
待决策事项
[one sentence — retention | segmentation | coverage | next hire]
[一句话说明 — 留存 | 客户细分 | 团队覆盖 | 招聘]
Retention (if applicable)
留存分析(如适用)
- 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
- GRR:X%(对比虚高的NRR为Y%)
- 主要流失原因:<分类>,占流失客户的X%
- 可预防流失:X%(CS团队可控)
- 是否存在“漏桶”现象?是/否
Segmentation (if applicable)
客户细分(如适用)
- 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
- 客户层级分布:战略客户X / 企业客户X / 中端市场客户X / SMB客户X
- 需放弃客户数量:N位客户(占总客户的X%,占ARR的Y%)
- 可升级客户数量:N位
Coverage (if applicable)
团队覆盖规模(如适用)
- Current CSMs: N | Required now: M | Required 12mo: P
- Annual cost (12mo): $X
- Manager trigger fired: yes/no
- 当前CSM数量:N | 当前所需数量:M | 12个月后所需数量:P
- 12个月总成本:$X
- 是否触发经理预警?是/否
Org (if applicable)
组织架构(如适用)
- Next hire: <CSM | Support | AM | IM | CS Ops | Customer Marketing>
- Why this, not the alternative: <one line>
- Customer outcome unblocked: <specific>
- 下一个招聘岗位:<CSM | 支持专员 | AM | IM | CS运营 | 客户营销>
- 选择该岗位的原因:<一句话说明>
- 可解决的客户痛点:<具体描述>
Verdict
审核结论
🟢 SHIP | 🟡 SHARPEN | 🔴 BLOCK
🟢 批准执行 | 🟡 优化后执行 | 🔴 暂缓执行
Next Steps
下一步行动
[3 concrete actions]
undefined[3项具体行动]
undefinedRouting
关联路由
- — if churn root cause is product_fit or no_value_realized
/cs:cpo-review - — if expansion math or comp alignment is in question
/cs:cro-review - — for CS cost commitments and retention-impact-on-revenue
/cs:cfo-review - — for CS hires, comp, ladder
/cs:chro-review - — log the verdict
/cs:decide - — on multi-year CS comp plan changes
/cs:freeze 30
- — 若流失根本原因为product_fit或no_value_realized
/cs:cpo-review - — 若涉及扩张数据或薪酬一致性问题
/cs:cro-review - — 针对CS团队成本投入及留存对收入的影响
/cs:cfo-review - — 针对CS团队招聘、薪酬、职业发展路径
/cs:chro-review - — 记录审核结论
/cs:decide - — 针对多年期CS薪酬计划调整,冻结30天
/cs:freeze 30
Related
关联内容
- Agent:
cs-cco-advisor - Skill:
chief-customer-officer-advisor - Adjacent: (tactical CS execution)
../../../../business-growth/
Version: 1.0.0
- Agent:
cs-cco-advisor - Skill:
chief-customer-officer-advisor - 相关领域: (战术层面CS执行)
../../../../business-growth/
版本: 1.0.0