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 success across onboarding, adoption, retention, and expansion. Use when designing onboarding playbooks, calculating health scores, building QBR decks, planning renewal strategies, or identifying expansion opportunities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The agent operates as an expert customer success manager, driving retention and growth through structured onboarding, health monitoring, risk mitigation, expansion identification, and customer advocacy programs.
Before generating, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
ONBOARDING (0-30d) -> ADOPTION (30-90d) -> VALUE REALIZATION (90d+) -> EXPANSION -> ADVOCACY
# Customer Onboarding: [Customer Name]
## Pre-Kickoff
- [ ] Account setup complete
- [ ] Key contacts identified
- [ ] Success criteria defined
- [ ] Implementation timeline agreed
- [ ] Resources allocated
## Week 1: Kickoff
- [ ] Kickoff meeting conducted
- [ ] Goals and milestones confirmed
- [ ] Training schedule set
- [ ] Communication channels established
## Week 2-4: Implementation
- [ ] Technical setup complete
- [ ] Data migration (if applicable)
- [ ] Integrations configured
- [ ] Initial users trained
## Week 4-8: Adoption
- [ ] Power users identified
- [ ] Workflow adoption started
- [ ] Early wins documented
- [ ] Feedback collected
## Handoff (Week 8)
- [ ] Onboarding review meeting
- [ ] Success metrics baseline
- [ ] Ongoing cadence established
- [ ] Escalation paths clear
HEALTH SCORE = (Product x 40%) + (Relationship x 30%) + (Outcomes x 30%)
PRODUCT (40%)
Login frequency: [0-10]
Feature adoption: [0-10]
Active users vs. licensed: [0-10]
Support tickets (inverse): [0-10]
RELATIONSHIP (30%)
Executive engagement: [0-10]
Meeting attendance: [0-10]
NPS score: [0-10]
Response time: [0-10]
OUTCOMES (30%)
Goals achieved: [0-10]
ROI demonstrated: [0-10]
Business impact: [0-10]
THRESHOLDS
80-100: Healthy (Green) -- maintain cadence, pursue expansion
60-79: Attention (Yellow) -- increase touchpoints, address gaps
0-59: At Risk (Red) -- activate risk playbook immediately
Customer: Acme Corp
Product: (9 + 8 + 9 + 9) / 4 = 8.75 -> weighted: 8.75 x 0.40 = 3.50
Relationship: (8 + 7 + 9 + 8) / 4 = 8.00 -> weighted: 8.00 x 0.30 = 2.40
Outcomes: (8 + 9 + 8) / 3 = 8.33 -> weighted: 8.33 x 0.30 = 2.50
Total: (3.50 + 2.40 + 2.50) x 10 = 84 -> Green
Low Engagement:
Low Adoption:
Executive Change:
Competitor Evaluation:
| Signal | Score | Recommended Action |
|---|---|---|
| High adoption (>80% licensed seats active) | +3 | Explore user expansion |
| New department expressing interest | +3 | Schedule discovery call |
| Feature requests for premium tier | +2 | Position upgrade path |
| Executive engagement increasing | +2 | Propose strategic review |
| Contract renewal within 90 days | +2 | Bundle expansion into renewal |
# Quarterly Business Review: [Customer Name]
## Partnership Summary
- Customer since: [Date]
- Current ARR: $[X]
- Users: [X] active / [Y] licensed
## Quarter in Review
### Achievements
- [Achievement 1 with metric]
- [Achievement 2 with metric]
### Metrics
| Metric | Target | Actual | Trend |
|--------|--------|--------|-------|
| [Metric] | [Target] | [Actual] | up/down/flat |
## Value Delivered
- Time saved: [X] hours
- Cost reduction: $[Y]
- Other impact: [Description]
## Next Quarter Goals
1. [Goal 1 with success metric]
2. [Goal 2 with success metric]
# Health score calculator
python scripts/health_scorer.py --data customers.csv
# QBR generator
python scripts/qbr_generator.py --data customers.csv --quarter Q4-2026
# Churn risk predictor
python scripts/churn_predictor.py --data customers.csv --horizon 90
| Problem | Root Cause | Resolution |
|---|---|---|
| Health scores not predicting churn | Model weights are stale or too generic | Recalibrate weights quarterly by comparing predicted scores against actual renewal outcomes. Segment scoring by customer tier, lifecycle stage, and use case. |
| Onboarding stalls at Week 2-4 | Technical blockers or lack of internal champion | Escalate to implementation team within 48 hours. Schedule a joint troubleshooting call. If champion is absent, request executive sponsor intervention. |
| NPS scores dropping across portfolio | Product issues, unresolved support backlog, or relationship decay | Analyze NPS verbatims for common themes. Prioritize red accounts for immediate outreach. Coordinate with Product on systemic issues. |
| Expansion conversations rejected | Timing misaligned with customer value realization | Only initiate expansion after demonstrating measurable ROI. Lead with value recap before any commercial discussion. Wait until health score is Green for 60+ days. |
| QBR attendance declining | Content not relevant; too much self-promotion, not enough customer value | Restructure QBR to lead with customer achievements and metrics. Limit product roadmap to items relevant to their use cases. Keep meetings under 45 minutes. |
| Executive sponsor changes | Organizational restructuring or M&A activity | Request introduction to new sponsor within 5 business days. Prepare a condensed value summary. Reset success metrics aligned to new sponsor's priorities. |
| Customer goes silent (no engagement) | De-prioritization, internal changes, or dissatisfaction not surfaced | Trigger the Low Engagement playbook immediately. Try multiple channels (email, phone, LinkedIn). Engage other known contacts. If no response in 14 days, escalate to your manager for executive outreach. |
| Renewal at risk with 60 days remaining | Late identification of churn signals; health score reviewed too infrequently | Increase monitoring cadence to weekly for all renewals within 90 days. Run churn risk scoring monthly. Pre-negotiate renewal terms 120 days before expiry. |
| Metric | Target | Measurement Method |
|---|---|---|
| Gross revenue retention (GRR) | 90%+ | Renewed ARR / Expiring ARR (excluding expansion) |
| Net revenue retention (NRR) | 110%+ | (Renewed + Expansion - Contraction) / Beginning ARR |
| Logo retention rate | 90%+ | Renewed customers / Total customers up for renewal |
| Customer health score accuracy | 80%+ predictive | Percentage of Green accounts that actually renewed |
| Time-to-value | Under 30 days | Days from contract signature to first measurable outcome |
| QBR completion rate | 100% for accounts above ARR threshold | QBRs delivered / QBRs due per quarter |
| NPS score | 50+ | Portfolio-wide NPS from quarterly surveys |
| Expansion revenue | 20%+ of book | Expansion ARR / Total managed ARR |
| Support escalation resolution | Under 48 hours | Average time from escalation to resolution |
In Scope:
Out of Scope:
Limitations:
| Integration | Direction | Purpose | Handoff Artifact |
|---|---|---|---|
| Account Executive | AE -> CSM | Post-sale handoff with deal context and success criteria | Handoff template with stakeholder map, success criteria, implementation timeline |
| Sales Engineer | SE -> CSM | Technical context from pre-sale evaluation | Technical discovery notes, POC results, integration requirements |
| Sales Operations | Bidirectional | Renewal forecasting, expansion pipeline tracking, churn reporting | Renewal forecast submissions, health score data exports |
| Product Team | CSM -> Product | Feature requests, usage feedback, product issues | Aggregated feedback reports, feature request rankings, bug reports |
| Support Team | Support -> CSM | Escalation routing, ticket trends, resolution tracking | Escalation alerts, monthly ticket summaries by account |
| Marketing | CSM -> Marketing | Customer stories, references, advocacy program | Case study candidates, reference availability, NPS promoters list |
| Finance | Bidirectional | Renewal pricing, credit requests, revenue forecasting | Renewal quotes, churn impact reports, expansion revenue tracking |
Workflow Handoff Protocol:
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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.