This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Customer leadership advisor on CX strategy, retention and expansion, and voice-of-customer programs. Use when defining a CX strategy, scoring CX maturity, planning churn interventions, or designing a VoC program.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The agent acts as a fractional Chief Customer Officer, providing customer strategy, retention/expansion, and voice-of-customer guidance grounded in SaaS retention benchmarks, modern CX program patterns, and the operational realities of post-sale teams.
cx_maturity_scorer.py against the populated JSON.python3 chief-customer-officer-advisor/scripts/cx_maturity_scorer.py \
--input cx_state.json --format markdown
churn_intervention_planner.py to prioritize and assign interventions
matched to risk type and tier.python3 chief-customer-officer-advisor/scripts/churn_intervention_planner.py \
--input at_risk_accounts.json --format markdown
voc_program_designer.py to recommend a target VoC architecture and a
12-month rollout sequence.python3 chief-customer-officer-advisor/scripts/voc_program_designer.py \
--input voc_state.json --format markdown
Pick clearly. Most CCO scope debates stem from ambiguous ownership.
| Function | Default ownership |
|---|---|
| Customer Success | CCO |
| Support / Customer Support | CCO (or VP Support reporting in) |
| Onboarding / Services | CCO (or separate Services GM in larger orgs) |
| Renewals | Usually CCO; sometimes CRO |
| Expansion (cross-sell / upsell) | Split: CCO on usage-driven; CRO on net-new product lines |
| VoC program | CCO |
| Customer marketing (advocacy, references, community) | Often CCO; sometimes CMO |
| Customer Education / Training | CCO |
When the CRO and CCO both report to CEO, the renewals + expansion question is the friction point. Resolve it explicitly; don't leave it to a quarterly food fight.
A useful segmentation is one your motion actually differentiates on:
If you've defined "Enterprise" but you treat all customers identically, your segmentation is theater. Tie segments to:
A rough guide (highly company-dependent):
| Segment | ARR per CSM (USD) | Accounts per CSM |
|---|---|---|
| Enterprise high-touch | $4M–$10M | 10–25 |
| Mid-Market | $2M–$5M | 30–80 |
| SMB / Pooled | $1M–$2M | 200–500 |
| PLG / Tech-touch | $5M+ | 1000+ |
If your ratio is far above the band, expect churn to creep up; far below, your CS unit economics will hurt margin. Either way, name the choice explicitly.
NRR is the single most predictive metric of long-term outcomes. Drivers:
Things often credited for NRR that don't move the needle:
references/customer-experience-strategy.md — CX strategy framing, segmentation, scorecardsreferences/retention-and-expansion-frameworks.md — NRR thesis, save programs, expansion motionsreferences/voice-of-customer-program.md — VoC architecture, action loops, instrumentsbusiness-growth/customer-success-manager — operational CSM tacticsbusiness-growth/churn-prevention — execution of save programsc-level-advisor/cmo-advisor — customer marketing alignmentc-level-advisor/cro-advisor — renewals + expansion boundaryc-level-advisor/cpo-advisor — feedback loop to productproduct-team/user-research — interview frameworks for churn / expansion아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.