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version: "1.0.0" name: account-health description: Assess customer account health using product usage, support sentiment, payment status, and relationship signals license: MIT metadata: author: ClawFu version: 1.0.0 mcp-server: "@clawfu/mcp-skills"
Account Health Scoring
Evaluate customer account health through multi-dimensional analysis to predict retention, identify expansion opportunities, and prevent churn.
When to Use This Skill
- Monthly/quarterly account reviews
- Building customer health dashboards
- Prioritizing CSM attention
- Identifying expansion opportunities
- Churn risk assessment
Methodology Foundation
Based on Gainsight Customer Health methodology and Lincoln Murphy's Customer Success principles, combining:
- Product adoption metrics
- Support/sentiment signals
- Financial health (payments, expansion)
- Relationship strength (engagement)
What Claude Does vs What You Decide
| Claude Does | You Decide | |
|---|---|---|
| Designs health score framework | Weight of each factor | |
| Calculates composite scores | Threshold for intervention | |
| Identifies risk signals | Resource allocation | |
| Suggests actions by score | Escalation decisions | |
| Tracks trend direction | Account save vs. let go |
What This Skill Does
- Framework design - Multi-factor health scoring model
- Score calculation - Weighted composite health score
- Risk identification - Early warning signals
- Trend analysis - Health trajectory over time
- Action recommendations - Interventions by health status
How to Use
Assess health for this account:Account: [Company Name]Contract: $[ARR], [Renewal Date]Tenure: [Months as customer]Product Usage:- Daily active users: X / Y licensed- Feature adoption: X% of features used- Login frequency: [Daily/Weekly/Monthly]- Last login: [Date]Support:- Tickets this quarter: X- CSAT score: X/5- Open escalations: X- Last interaction sentiment: [Positive/Neutral/Negative]Financial:- Payment status: [Current/Late/At Risk]- Expansion conversations: [Yes/No]- Contract modifications: [None/Downgrade/Upgrade]Relationship:- Executive sponsor: [Active/Passive/Gone]- Champion status: [Strong/Weak/Churned]- NPS score: X- QBR attendance: [Regular/Sporadic/None]
Instructions
Step 1: Define Health Dimensions (4 Pillars)
| Dimension | Weight | What It Measures | |
|---|---|---|---|
| Product | 30% | Are they using the product? | |
| Support | 20% | Are they happy with service? | |
| Financial | 25% | Are they paying and growing? | |
| Relationship | 25% | Do we have strong contacts? |
Step 2: Score Each Dimension (0-100)
Product Health (30%):
| Metric | Score | |
|---|---|---|
| DAU/MAU > 70% | +30 | |
| DAU/MAU 50-70% | +20 | |
| DAU/MAU 30-50% | +10 | |
| DAU/MAU < 30% | +0 | |
| Feature adoption > 60% | +25 | |
| Feature adoption 40-60% | +15 | |
| Feature adoption < 40% | +5 | |
| No login 7+ days | -20 | |
| No login 30+ days | -40 | |
| Usage trending up | +15 | |
| Usage trending down | -15 |
Support Health (20%):
| Metric | Score | |
|---|---|---|
| CSAT > 4.5 | +30 | |
| CSAT 4.0-4.5 | +20 | |
| CSAT 3.5-4.0 | +10 | |
| CSAT < 3.5 | +0 | |
| No escalations | +25 | |
| Resolved escalations | +15 | |
| Open escalations | -20 | |
| Negative sentiment | -25 | |
| Tickets trending down | +10 | |
| Tickets trending up | -10 |
Financial Health (25%):
| Metric | Score | |
|---|---|---|
| Payment current | +30 | |
| Payment 30 days late | +10 | |
| Payment 60+ days late | -20 | |
| Expansion discussion | +20 | |
| Upgrade completed | +30 | |
| Downgrade risk | -30 | |
| Multi-year contract | +20 | |
| Month-to-month | -10 |
Relationship Health (25%):
| Metric | Score | |
|---|---|---|
| Exec sponsor active | +30 | |
| Champion engaged | +25 | |
| NPS Promoter (9-10) | +25 | |
| NPS Passive (7-8) | +10 | |
| NPS Detractor (0-6) | -20 | |
| Regular QBR attendance | +20 | |
| No QBR in 6 months | -15 | |
| Champion left company | -30 |
Step 3: Calculate Composite Score
Health Score = (Product × 0.30) + (Support × 0.20) +(Financial × 0.25) + (Relationship × 0.25)
Step 4: Assign Health Status
| Score | Status | Color | Action | |
|---|---|---|---|---|
| 80-100 | Healthy | 🟢 Green | Expand, get referrals | |
| 60-79 | Monitor | 🟡 Yellow | Proactive engagement | |
| 40-59 | At Risk | 🟠 Orange | Intervention required | |
| 0-39 | Critical | 🔴 Red | Executive escalation |
Step 5: Identify Trend Direction
| Pattern | Signal | Action | |
|---|---|---|---|
| ↗️ Improving | Score up 10+ points | Continue current approach | |
| → Stable | Score within 5 points | Monitor for changes | |
| ↘️ Declining | Score down 10+ points | Immediate intervention |
Examples
Example 1: Healthy Account
Input:
Account: TechCorp SolutionsContract: $120K ARR, Renewal: Sep 2026Tenure: 24 monthsProduct Usage:- DAU: 85 / 100 licensed (85%)- Feature adoption: 72%- Login frequency: Daily- Last login: TodaySupport:- Tickets this quarter: 3 (minor issues)- CSAT: 4.8/5- Open escalations: 0- Last interaction: PositiveFinancial:- Payment: Current- Expansion: Discussing 20 more seats- Contract: 2-year renewal signedRelationship:- Exec sponsor: CTO actively engaged- Champion: VP Eng, very strong- NPS: 9- QBR: Quarterly, well-attended
Output:
## Account Health: TechCorp Solutions### Overall Score: 92/100 🟢 HEALTHY### Dimension Scores| Dimension | Score | Weight | Weighted ||-----------|-------|--------|----------|| Product | 95 | 30% | 28.5 || Support | 90 | 20% | 18.0 || Financial | 95 | 25% | 23.8 || Relationship | 90 | 25% | 22.5 || **Total** | | | **92.8** |### Score Breakdown**Product Health: 95/100** ✅- DAU/MAU at 85% (+30)- Feature adoption 72% (+25)- Daily logins (+20)- Usage trending stable (+10)- No concerning signals**Support Health: 90/100** ✅- CSAT 4.8 (+30)- Only 3 minor tickets (+25)- No escalations (+25)- Positive sentiment (+10)**Financial Health: 95/100** ✅- Payment current (+30)- Expansion in discussion (+20)- Multi-year renewal signed (+30)- No downgrade signals (+15)**Relationship Health: 90/100** ✅- CTO actively engaged (+30)- Strong VP Eng champion (+25)- NPS 9 (Promoter) (+25)- Regular QBRs (+20)- Slight gap: Could add more contacts (-10)### Trend: → Stable (High)### Recommended Actions**Expansion Focus:**1. Close the 20-seat expansion discussion2. Introduce new product features for upsell3. Request case study/testimonial**Relationship Deepening:**1. Add 1-2 more stakeholder relationships2. Invite to customer advisory board3. Offer early access to beta features**Risk Mitigation:**- Champion VP Eng is critical - ensure backup contact- Document success metrics for renewal proof points
Example 2: At-Risk Account
Input:
Account: RetailMax IncContract: $85K ARR, Renewal: Apr 2026 (3 months)Tenure: 18 monthsProduct Usage:- DAU: 12 / 50 licensed (24%)- Feature adoption: 35%- Login frequency: Weekly- Last login: 8 days agoSupport:- Tickets this quarter: 12 (several complaints)- CSAT: 3.2/5- Open escalations: 2- Last interaction: Negative (product complaints)Financial:- Payment: 15 days late- Expansion: No discussions- Contract: Mentioned budget cutsRelationship:- Exec sponsor: CFO, never met- Champion: Original champion left 2 months ago- NPS: 5 (Detractor)- QBR: Skipped last 2
Output:
## Account Health: RetailMax Inc### Overall Score: 31/100 🔴 CRITICAL⚠️ **IMMEDIATE ATTENTION REQUIRED**Renewal in 3 months with multiple critical risk factors.### Dimension Scores| Dimension | Score | Weight | Weighted ||-----------|-------|--------|----------|| Product | 20 | 30% | 6.0 || Support | 25 | 20% | 5.0 || Financial | 30 | 25% | 7.5 || Relationship | 20 | 25% | 5.0 || **Total** | | | **31** |### Critical Risk Factors 🚨1. **🔴 Champion Churned** (-30)- Original champion left 2 months ago- No replacement identified- Institutional knowledge lost2. **🔴 Low Adoption** (24% DAU)- Only 12 of 50 users active- Indicates low perceived value- Hard to justify renewal3. **🔴 NPS Detractor** (5)- Actively unhappy- May influence other buyers- Requires executive intervention4. **🟠 Open Escalations** (2)- Unresolved issues damaging trust- Need immediate resolution5. **🟠 Payment Late**- Could signal budget issues- "Budget cuts" mentioned### Trend: ↘️ DecliningScore dropped ~25 points since champion departure.### Save Plan: 90-Day Sprint**Week 1: Triage**- [ ] Resolve both open escalations- [ ] CSM call with current users to assess sentiment- [ ] Identify new potential champion- [ ] Check payment status/AR outreach**Week 2-4: Stabilize**- [ ] Executive sponsor meeting (your VP + their CFO)- [ ] Onboard new champion- [ ] Re-training for low-adoption users- [ ] Document 3 value proof points**Week 5-8: Rebuild**- [ ] Adoption bootcamp for inactive users- [ ] Success planning session- [ ] Get CSAT above 4.0- [ ] Monthly check-ins scheduled**Week 9-12: Renewal**- [ ] QBR with full stakeholder group- [ ] Renewal proposal with options- [ ] Right-size if needed (reduce seats)- [ ] Multi-year incentive if healthy### If Save Fails- Prepare for graceful offboarding- Document learnings for post-mortem- Maintain relationship for potential return- Collect exit feedback### Success Probability: 40%Without new champion, save is difficult.
Skill Boundaries
What This Skill Does Well
- Structured health assessment framework
- Multi-factor scoring with clear logic
- Risk identification and prioritization
- Action recommendations by health tier
What This Skill Cannot Do
- Access actual product usage data
- Predict specific churn timing
- Know internal customer politics
- Replace CSM relationship judgment
When to Escalate to Human
- Accounts with complex multi-product relationships
- Strategic accounts with executive relationships
- Accounts involving legal or contractual disputes
- Save decisions requiring investment approval
Iteration Guide
Follow-up Prompts
- "What's the #1 action to improve this score by 20 points?"
- "Compare health scores for my top 10 accounts."
- "Build a 30-60-90 day save plan for this account."
- "What early warning signals should I watch for?"
Continuous Monitoring
- Score all accounts monthly
- Alert on 10+ point drops
- Segment by health tier
- Track save success rates
- Refine weights based on churn correlation
Checklists & Templates
Monthly Health Review Checklist
- [ ] Pull usage data for all accounts
- [ ] Update support sentiment scores
- [ ] Check payment status
- [ ] Review relationship changes
- [ ] Calculate health scores
- [ ] Triage critical accounts
Health Score Template
markdown
## Account: [Name] | Score: X/100 [Emoji]**Contract**: $X ARR | Renewal: [Date] | Tenure: X months### Scores| Dimension | Score | Key Factor ||-----------|-------|------------|| Product | /100 | || Support | /100 | || Financial | /100 | || Relationship | /100 | |### Top Risks1.2.### Actions This Month1.2.
References
- Gainsight Customer Health Best Practices
- Lincoln Murphy's Customer Success Metrics
- ChurnZero Customer Health Framework
- Totango Customer Health Scoring
Related Skills
churn-prediction- Deeper churn analysisqbr-preparation- Health-informed QBR prepexpansion-signals- Identify growth opportunities
Skill Metadata
- Domain: RevOps
- Complexity: Intermediate
- Mode: centaur
- Time to Value: 20-30 min per account
- Prerequisites: Usage data, support history, relationship context