account-health
À propos
Cette compétence évalue la santé des comptes clients en analysant l'utilisation des produits, le sentiment du support, le statut de paiement et les signaux relationnels. Elle aide les développeurs à créer des tableaux de bord, à prioriser les efforts de réussite client, et à identifier les risques de désabonnement ou les opportunités d'expansion. L'outil s'appuie sur des méthodologies établies comme Gainsight et est idéal pour mettre en œuvre des revues systématiques des comptes.
Installation rapide
Claude Code
Recommandénpx skills add guia-matthieu/clawfu-skills -a claude-code/plugin add https://github.com/guia-matthieu/clawfu-skillsgit clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/account-healthCopiez et collez cette commande dans Claude Code pour installer cette compétence
Documentation
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 Solutions
Contract: $120K ARR, Renewal: Sep 2026
Tenure: 24 months
Product Usage:
- DAU: 85 / 100 licensed (85%)
- Feature adoption: 72%
- Login frequency: Daily
- Last login: Today
Support:
- Tickets this quarter: 3 (minor issues)
- CSAT: 4.8/5
- Open escalations: 0
- Last interaction: Positive
Financial:
- Payment: Current
- Expansion: Discussing 20 more seats
- Contract: 2-year renewal signed
Relationship:
- 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 discussion
2. Introduce new product features for upsell
3. Request case study/testimonial
**Relationship Deepening:**
1. Add 1-2 more stakeholder relationships
2. Invite to customer advisory board
3. 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 Inc
Contract: $85K ARR, Renewal: Apr 2026 (3 months)
Tenure: 18 months
Product Usage:
- DAU: 12 / 50 licensed (24%)
- Feature adoption: 35%
- Login frequency: Weekly
- Last login: 8 days ago
Support:
- 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 cuts
Relationship:
- 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 lost
2. **🔴 Low Adoption** (24% DAU)
- Only 12 of 50 users active
- Indicates low perceived value
- Hard to justify renewal
3. **🔴 NPS Detractor** (5)
- Actively unhappy
- May influence other buyers
- Requires executive intervention
4. **🟠 Open Escalations** (2)
- Unresolved issues damaging trust
- Need immediate resolution
5. **🟠 Payment Late**
- Could signal budget issues
- "Budget cuts" mentioned
### Trend: ↘️ Declining
Score 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
## 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 Risks
1.
2.
### Actions This Month
1.
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
Dépôt GitHub
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