Customer Success
Guide founders from reactive support to proactive customer success—from first customers through building a scalable CS organization.
Reference Files
references/onboarding.md — Onboarding flows, email sequences, activation checklists
references/churn-prevention.md — Churn analysis frameworks, intervention playbooks, exit surveys
references/nps-csat.md — NPS/CSAT survey templates, follow-up workflows, benchmarks
references/health-scoring.md — Health score models, risk indicators, early warning systems
references/support-processes.md — Support ticketing, escalation paths, QBR templates
Workflow
1. Diagnose Stage & Need
Ask: "Where are you in your customer success journey?"
| Stage |
Signals |
Focus |
| Early-stage (1-100 customers) |
Founder handles support, no formal processes |
→ Lightweight onboarding, manual health checks |
| Growth (100-500 customers) |
Can't personally know every customer |
→ Systematize onboarding, implement health scoring |
| Scale (500+ customers) |
Building CS team, need playbooks |
→ Full CS org, automation, QBRs |
Primary Need Identification:
| Need |
Signals |
Next Step |
| Onboarding |
"Customers don't activate", "time to value is long" |
→ Step 2: Onboarding |
| Churn |
"Customers leaving", "high churn rate", "why are we losing customers?" |
→ Step 3: Churn Prevention |
| Satisfaction |
"Need NPS", "measure satisfaction", "customer feedback" |
→ Step 4: NPS & CSAT |
| Health Scoring |
"Predict at-risk customers", "proactive CS" |
→ Step 5: Health Scoring |
| Support |
"Support process", "ticketing", "QBRs" |
→ Step 6: Support & QBRs |
2. Onboarding
Transform new customers into successful, activated users. See references/onboarding.md for complete templates.
Onboarding Framework
The Goal: Deliver first value as fast as possible.
Signup → First Value Moment → Habit Formation → Expansion
(Time-to-value) (Stickiness) (Growth)
Define Your Activation Moment:
| Business Type |
Typical Activation |
Why |
| B2B SaaS |
First workflow completed |
Core value realized |
| Collaboration tool |
Team member invited |
Network effect |
| Analytics |
First report generated |
Insight delivered |
| Marketplace |
First transaction |
Both sides connected |
Onboarding Stages
| Stage |
Goal |
Timeframe |
Key Actions |
| Welcome |
Set expectations |
Day 0 |
Welcome email, account setup |
| Setup |
Configure product |
Day 1-3 |
Core settings, integrations |
| Activation |
Reach first value |
Day 3-7 |
Guided workflow, first success |
| Engagement |
Build habit |
Day 7-30 |
Feature education, check-ins |
| Expansion |
Deepen usage |
Day 30+ |
Advanced features, team growth |
Stage-Appropriate Onboarding
Early-Stage (Manual, High-Touch):
- Personal welcome call for every customer
- White-glove setup assistance
- Direct founder/CEO communication
- Learn what customers actually need
Growth (Hybrid):
- Self-serve for SMB, high-touch for enterprise
- Automated email sequences with personal check-ins
- In-app guidance (tooltips, checklists)
- Segment by customer size/value
Scale (Automated with Exceptions):
- Fully automated self-serve onboarding
- Tech-touch for most, high-touch for strategic accounts
- CSM assignment based on ARR threshold
- Onboarding metrics dashboard
Onboarding Email Sequence
| Email |
Timing |
Purpose |
Key Elements |
| Welcome |
Immediately |
Confirm, set expectations |
Login link, what's next, support contact |
| Quick Win |
Day 1 |
Drive first action |
One specific task to complete |
| Setup Help |
Day 3 |
Remove friction |
Common setup issues, FAQ link |
| Activation Push |
Day 5 |
Drive to value moment |
"Here's what successful users do first" |
| Check-in |
Day 7 |
Personal touch |
"How's it going? Questions?" |
| Feature Intro |
Day 14 |
Deepen engagement |
One underused feature |
| Success Story |
Day 21 |
Social proof |
Customer similar to them |
| Expansion |
Day 30 |
Grow usage |
Team features, advanced use cases |
Onboarding Metrics
| Metric |
Formula |
Target |
| Time to First Value |
Days from signup to activation |
<7 days (SaaS) |
| Activation Rate |
Users reaching activation / Total signups |
>60% |
| Onboarding Completion |
Users completing all steps / Total signups |
>80% |
| Day 7 Retention |
Active day 7 / Total signups |
>40% (B2B) |
3. Churn Prevention
Stop customers before they leave. See references/churn-prevention.md for intervention playbooks.
Understanding Churn
Types of Churn:
| Type |
Cause |
Prevention |
| Voluntary |
Customer decides to leave |
Value delivery, engagement |
| Involuntary |
Payment failure |
Dunning emails, payment recovery |
| Downgrade |
Reduced spend |
Demonstrate value, right-size plans |
Churn Timing Patterns:
| When |
Likely Cause |
Intervention |
| First 30 days |
Poor onboarding, no value found |
Activation focus, onboarding calls |
| At renewal |
Didn't see ROI |
QBR before renewal, value recap |
| After price increase |
Price/value mismatch |
Communicate value, offer options |
| After champion leaves |
Relationship-dependent |
Multi-thread contacts |
Churn Analysis Framework
Step 1: Calculate Churn Rate
Monthly Logo Churn = Customers lost / Customers at start of month
Monthly Revenue Churn = MRR lost / MRR at start of month
Net Revenue Retention = (MRR at end + expansion - churn) / MRR at start
Step 2: Segment Churn
Analyze churn by:
- Customer segment (SMB/Mid/Enterprise)
- Tenure (first 90 days vs. established)
- Acquisition channel
- Plan type
- Use case / vertical
Step 3: Identify Patterns
| Question |
What It Reveals |
| When do they churn? |
Onboarding vs. renewal problem |
| Who churns? |
Segment fit issues |
| What predicts churn? |
Leading indicators |
| Why do they say they're leaving? |
Root cause |
Churn Intervention Playbook
| Risk Level |
Indicators |
Action |
Owner |
| Critical |
Cancellation request, angry ticket |
Same-day call, escalate |
CS Leader |
| High |
Usage dropped >50%, no login 14+ days |
Outreach within 24h |
CSM |
| Medium |
Usage declining, support tickets up |
Automated + personal touch |
CSM/Automated |
| Low |
Minor engagement dip |
Automated nurture |
Automated |
Exit Survey
When customers churn, learn why:
Exit Survey Questions:
What was your primary reason for canceling? (Required, single select)
- Found a better alternative
- Too expensive
- Missing features we needed
- Didn't use it enough
- Poor customer support
- Company/budget changes
- Other
What could we have done differently? (Optional, open text)
Would you consider us again in the future? (Required, Yes/No/Maybe)
How likely are you to recommend us to others? (NPS scale)
4. NPS & CSAT
Measure and improve customer satisfaction. See references/nps-csat.md for survey templates.
NPS (Net Promoter Score)
The Question:
"On a scale of 0-10, how likely are you to recommend [Product] to a friend or colleague?"
Scoring:
- Promoters (9-10): Loyal enthusiasts who refer others
- Passives (7-8): Satisfied but vulnerable to competition
- Detractors (0-6): Unhappy customers who can damage brand
NPS Calculation:
NPS = % Promoters - % Detractors
Range: -100 to +100
NPS Benchmarks:
| NPS Score |
Rating |
Context |
| 70+ |
World-class |
Top companies (Apple, USAA) |
| 50-69 |
Excellent |
Strong customer loyalty |
| 30-49 |
Good |
Healthy, room to improve |
| 0-29 |
Needs work |
More detractors than ideal |
| Negative |
Critical |
Urgent action needed |
B2B SaaS NPS Benchmarks:
| Segment |
Median |
Top Quartile |
| SMB |
30 |
50+ |
| Mid-market |
35 |
55+ |
| Enterprise |
40 |
60+ |
CSAT (Customer Satisfaction Score)
The Question:
"How satisfied are you with [specific interaction/product]?"
Scale: 1-5 or 1-7
CSAT Calculation:
CSAT = (Satisfied responses / Total responses) × 100
"Satisfied" = top 2 scores (4-5 on 5-point scale)
When to Use Each:
| Metric |
Best For |
Timing |
| NPS |
Overall relationship, loyalty |
Quarterly, after key milestones |
| CSAT |
Specific interactions |
After support ticket, after onboarding |
| CES |
Ease of experience |
After specific task completion |
NPS Survey Implementation
Timing Strategy:
| Trigger |
Rationale |
| Quarterly |
Regular pulse on relationship |
| Post-onboarding (Day 30) |
Measure first impression |
| Post-support resolution |
Measure support quality |
| Pre-renewal (60 days out) |
Identify at-risk before too late |
Follow-up Questions (by segment):
For Promoters (9-10):
"What do you love most about [Product]?"
"Would you be open to leaving a review or being a reference?"
For Passives (7-8):
"What would make you rate us higher?"
"What's one thing we could improve?"
For Detractors (0-6):
"We're sorry to hear that. What's the main reason for your score?"
"What would it take to improve your experience?"
NPS Follow-up Workflow
| Segment |
Response SLA |
Action |
Owner |
| Detractors |
24 hours |
Personal call, understand issue |
CSM/CS Leader |
| Passives |
48 hours |
Email follow-up, gather feedback |
CSM |
| Promoters |
1 week |
Thank you, referral/review ask |
CSM/Marketing |
5. Customer Health Scoring
Predict and prevent churn before it happens. See references/health-scoring.md for detailed models.
Health Score Components
Build a composite score from multiple signals:
| Category |
Weight |
Signals |
| Product Usage |
40% |
Login frequency, feature adoption, breadth of use |
| Engagement |
25% |
Support tickets, NPS responses, event attendance |
| Relationship |
20% |
Executive sponsor, champion strength, multi-threading |
| Financial |
15% |
Payment history, contract value, expansion potential |
Simple Health Score Model
For Early-Stage (Spreadsheet-Based):
| Dimension |
Red (0 pts) |
Yellow (1 pt) |
Green (2 pts) |
| Login Frequency |
No login 14+ days |
1-2x/week |
3+ times/week |
| Feature Adoption |
Only 1 feature |
2-3 features |
4+ features |
| Support Sentiment |
Negative tickets |
Neutral |
Positive/none |
| Stakeholder Access |
No response |
Single contact |
Multi-contact |
| NPS Score |
Detractor |
Passive |
Promoter |
Score Interpretation:
- 8-10: Healthy (Green)
- 5-7: Needs attention (Yellow)
- 0-4: At risk (Red)
Stage-Appropriate Health Scoring
Early-Stage (1-100 customers):
- Manual health check spreadsheet
- Gut feel + basic usage data
- Review weekly with founder
- Focus on learning patterns
Growth (100-500 customers):
- Simple scoring model in CRM
- Automated alerts for red accounts
- Weekly health review meeting
- Start documenting playbooks
Scale (500+ customers):
- Automated health scoring platform
- ML-based churn prediction
- Real-time dashboards
- Tiered response playbooks
Acting on Health Scores
| Health |
Action |
Frequency |
Goal |
| Green |
Expansion focus |
Quarterly QBR |
Grow and advocate |
| Yellow |
Engagement boost |
Bi-weekly check-in |
Return to green |
| Red |
Intervention |
Immediate |
Save or learn |
6. Support Processes & QBRs
Build support systems that scale. See references/support-processes.md for templates.
Support Tier Structure
| Tier |
Handles |
Response Time |
Escalation |
| Tier 1 |
FAQs, how-to, basic issues |
<4 hours |
Can't resolve in 1 interaction |
| Tier 2 |
Technical issues, bugs |
<8 hours |
Requires engineering |
| Tier 3 |
Engineering escalation |
<24 hours |
Product decisions needed |
Support Metrics
| Metric |
Definition |
Target |
| First Response Time |
Time to first human reply |
<4 hours (business) |
| Resolution Time |
Time to fully resolve |
<24 hours (Tier 1) |
| First Contact Resolution |
% resolved in one interaction |
>70% |
| CSAT (Support) |
Post-ticket satisfaction |
>90% |
| Ticket Volume per Customer |
Tickets / Active customers |
Decreasing trend |
QBR (Quarterly Business Review)
Purpose: Demonstrate value, align on goals, identify expansion.
QBR Agenda (60 min):
| Section |
Time |
Content |
| Business Update |
5 min |
Their company news, priorities |
| Usage & Value |
15 min |
Metrics, ROI achieved |
| Wins & Challenges |
10 min |
What's working, what's not |
| Product Roadmap |
10 min |
Relevant upcoming features |
| Goals & Action Plan |
15 min |
Next quarter objectives |
| Expansion Discussion |
5 min |
Growth opportunities |
QBR Preparation Checklist:
When to Start QBRs
| Customer Segment |
QBR Frequency |
Delivery |
| Enterprise ($100K+) |
Quarterly |
In-person or video |
| Mid-market ($25-100K) |
Bi-annually |
Video call |
| SMB (<$25K) |
Annually or trigger-based |
Email summary |
7. Building a CS Team
When to Hire First CSM:
CSM-to-Account Ratios:
| Segment |
Ratio |
Why |
| Enterprise |
1:10-20 |
High-touch required |
| Mid-market |
1:30-50 |
Balanced touch |
| SMB |
1:100-200 |
Tech-touch + pooled |
First CS Hire Profile:
- Previous startup experience at similar stage
- Can build process, not just follow it
- Strong communication + empathy
- Comfortable with ambiguity
- Technical enough to understand product
Deliverables
1. Onboarding Email Sequence
Create using docx skill:
- 6-8 email sequence with timing
- Subject lines and body copy
- Personalization placeholders
- Success metrics to track
2. Onboarding Checklist
Create using xlsx skill:
- Step-by-step activation checklist
- Owner assignments
- Timeline targets
- Completion tracking
3. Churn Analysis Framework
Create as markdown:
- Churn calculation formulas
- Segmentation dimensions
- Analysis template
- Intervention triggers
4. NPS Survey + Workflow
Create using docx skill:
- Survey questions
- Follow-up sequences by segment
- Response SLAs
- Reporting template
5. Customer Health Scorecard
Create using xlsx skill:
- Scoring dimensions and weights
- Red/yellow/green thresholds
- Account list with scores
- Action triggers
6. QBR Template
Create using pptx skill:
- 8-10 slide deck template
- Agenda and discussion guide
- Metrics dashboard slide
- Action plan format
7. Support Process Document
Create using docx skill:
- Tier definitions and escalation paths
- Response time SLAs
- Ticket categorization
- Metrics and reporting
Anti-Patterns
Onboarding Mistakes:
- No defined activation moment (unclear success)
- Same onboarding for all customers (one-size-fits-none)
- Too many emails too fast (overwhelm)
- No measurement (can't improve what you don't track)
Churn Prevention Mistakes:
- Reactive only (waiting for cancellation request)
- Not segmenting churn (treating all churn the same)
- No exit interviews (missing root causes)
- Focusing on save rate, not prevention
NPS Mistakes:
- Survey fatigue (too frequent)
- No follow-up on responses (especially detractors)
- Gaming the score (only surveying happy customers)
- NPS as only metric (missing context)
Health Score Mistakes:
- Too complex initially (analysis paralysis)
- Not acting on scores (dashboard without action)
- Static thresholds (not updating as you learn)
- Missing qualitative signals (relationship quality)
Support Mistakes:
- No SLAs defined (inconsistent experience)
- No escalation path (tickets stuck in limbo)
- Not connecting support to product (missing feedback loop)
- Measuring volume, not quality
Integration with Other Skills
- Use
product skill for feature prioritization from CS feedback
- Use
growth-analytics skill for retention metrics and cohort analysis
- Use
sales skill for handoff process from sales to CS
- Use
operations skill for CS team OKRs and hiring
- Use
business-model skill for LTV/CAC and expansion revenue
- Use
docx skill for process documentation and playbooks
- Use
xlsx skill for health scorecards and metrics tracking
- Use
pptx skill for QBR decks
Adapted from Linas Beliūnas's The One-Person Unicorn founder skill set.
1---2name: customer-success3description: Guide founders through customer success strategy including onboarding, support processes, churn prevention, and satisfaction measurement. Use when a founder says "help me design an onboarding flow for new customers", "how do I reduce churn?", "create an NPS survey for my product", "build a customer health scoring system", "help me set up a support ticketing process", "how to improve my customer satisfaction?", "QBR template", "customer success playbook", or asks about retention, customer experience, or building a CS team.4---56# Customer Success78Guide founders from reactive support to proactive customer success—from first customers through building a scalable CS organization.910## Reference Files1112- `references/onboarding.md` — Onboarding flows, email sequences, activation checklists13- `references/churn-prevention.md` — Churn analysis frameworks, intervention playbooks, exit surveys14- `references/nps-csat.md` — NPS/CSAT survey templates, follow-up workflows, benchmarks15- `references/health-scoring.md` — Health score models, risk indicators, early warning systems16- `references/support-processes.md` — Support ticketing, escalation paths, QBR templates1718## Workflow1920### 1. Diagnose Stage & Need2122Ask: "Where are you in your customer success journey?"2324| Stage | Signals | Focus |25|-------|---------|-------|26| **Early-stage** (1-100 customers) | Founder handles support, no formal processes | → Lightweight onboarding, manual health checks |27| **Growth** (100-500 customers) | Can't personally know every customer | → Systematize onboarding, implement health scoring |28| **Scale** (500+ customers) | Building CS team, need playbooks | → Full CS org, automation, QBRs |2930**Primary Need Identification:**3132| Need | Signals | Next Step |33|------|---------|-----------|34| **Onboarding** | "Customers don't activate", "time to value is long" | → Step 2: Onboarding |35| **Churn** | "Customers leaving", "high churn rate", "why are we losing customers?" | → Step 3: Churn Prevention |36| **Satisfaction** | "Need NPS", "measure satisfaction", "customer feedback" | → Step 4: NPS & CSAT |37| **Health Scoring** | "Predict at-risk customers", "proactive CS" | → Step 5: Health Scoring |38| **Support** | "Support process", "ticketing", "QBRs" | → Step 6: Support & QBRs |3940### 2. Onboarding4142Transform new customers into successful, activated users. See `references/onboarding.md` for complete templates.4344#### Onboarding Framework4546**The Goal:** Deliver first value as fast as possible.4748```49Signup → First Value Moment → Habit Formation → Expansion50 (Time-to-value) (Stickiness) (Growth)51```5253**Define Your Activation Moment:**5455| Business Type | Typical Activation | Why |56|---------------|-------------------|-----|57| B2B SaaS | First workflow completed | Core value realized |58| Collaboration tool | Team member invited | Network effect |59| Analytics | First report generated | Insight delivered |60| Marketplace | First transaction | Both sides connected |6162#### Onboarding Stages6364| Stage | Goal | Timeframe | Key Actions |65|-------|------|-----------|-------------|66| **Welcome** | Set expectations | Day 0 | Welcome email, account setup |67| **Setup** | Configure product | Day 1-3 | Core settings, integrations |68| **Activation** | Reach first value | Day 3-7 | Guided workflow, first success |69| **Engagement** | Build habit | Day 7-30 | Feature education, check-ins |70| **Expansion** | Deepen usage | Day 30+ | Advanced features, team growth |7172#### Stage-Appropriate Onboarding7374**Early-Stage (Manual, High-Touch):**75- Personal welcome call for every customer76- White-glove setup assistance77- Direct founder/CEO communication78- Learn what customers actually need7980**Growth (Hybrid):**81- Self-serve for SMB, high-touch for enterprise82- Automated email sequences with personal check-ins83- In-app guidance (tooltips, checklists)84- Segment by customer size/value8586**Scale (Automated with Exceptions):**87- Fully automated self-serve onboarding88- Tech-touch for most, high-touch for strategic accounts89- CSM assignment based on ARR threshold90- Onboarding metrics dashboard9192#### Onboarding Email Sequence9394| Email | Timing | Purpose | Key Elements |95|-------|--------|---------|--------------|96| **Welcome** | Immediately | Confirm, set expectations | Login link, what's next, support contact |97| **Quick Win** | Day 1 | Drive first action | One specific task to complete |98| **Setup Help** | Day 3 | Remove friction | Common setup issues, FAQ link |99| **Activation Push** | Day 5 | Drive to value moment | "Here's what successful users do first" |100| **Check-in** | Day 7 | Personal touch | "How's it going? Questions?" |101| **Feature Intro** | Day 14 | Deepen engagement | One underused feature |102| **Success Story** | Day 21 | Social proof | Customer similar to them |103| **Expansion** | Day 30 | Grow usage | Team features, advanced use cases |104105#### Onboarding Metrics106107| Metric | Formula | Target |108|--------|---------|--------|109| **Time to First Value** | Days from signup to activation | <7 days (SaaS) |110| **Activation Rate** | Users reaching activation / Total signups | >60% |111| **Onboarding Completion** | Users completing all steps / Total signups | >80% |112| **Day 7 Retention** | Active day 7 / Total signups | >40% (B2B) |113114### 3. Churn Prevention115116Stop customers before they leave. See `references/churn-prevention.md` for intervention playbooks.117118#### Understanding Churn119120**Types of Churn:**121122| Type | Cause | Prevention |123|------|-------|------------|124| **Voluntary** | Customer decides to leave | Value delivery, engagement |125| **Involuntary** | Payment failure | Dunning emails, payment recovery |126| **Downgrade** | Reduced spend | Demonstrate value, right-size plans |127128**Churn Timing Patterns:**129130| When | Likely Cause | Intervention |131|------|--------------|--------------|132| **First 30 days** | Poor onboarding, no value found | Activation focus, onboarding calls |133| **At renewal** | Didn't see ROI | QBR before renewal, value recap |134| **After price increase** | Price/value mismatch | Communicate value, offer options |135| **After champion leaves** | Relationship-dependent | Multi-thread contacts |136137#### Churn Analysis Framework138139**Step 1: Calculate Churn Rate**140141```142Monthly Logo Churn = Customers lost / Customers at start of month143Monthly Revenue Churn = MRR lost / MRR at start of month144Net Revenue Retention = (MRR at end + expansion - churn) / MRR at start145```146147**Step 2: Segment Churn**148149Analyze churn by:150- Customer segment (SMB/Mid/Enterprise)151- Tenure (first 90 days vs. established)152- Acquisition channel153- Plan type154- Use case / vertical155156**Step 3: Identify Patterns**157158| Question | What It Reveals |159|----------|----------------|160| When do they churn? | Onboarding vs. renewal problem |161| Who churns? | Segment fit issues |162| What predicts churn? | Leading indicators |163| Why do they say they're leaving? | Root cause |164165#### Churn Intervention Playbook166167| Risk Level | Indicators | Action | Owner |168|------------|------------|--------|-------|169| **Critical** | Cancellation request, angry ticket | Same-day call, escalate | CS Leader |170| **High** | Usage dropped >50%, no login 14+ days | Outreach within 24h | CSM |171| **Medium** | Usage declining, support tickets up | Automated + personal touch | CSM/Automated |172| **Low** | Minor engagement dip | Automated nurture | Automated |173174#### Exit Survey175176When customers churn, learn why:177178**Exit Survey Questions:**1791. What was your primary reason for canceling? (Required, single select)180 - Found a better alternative181 - Too expensive182 - Missing features we needed183 - Didn't use it enough184 - Poor customer support185 - Company/budget changes186 - Other1871882. What could we have done differently? (Optional, open text)1891903. Would you consider us again in the future? (Required, Yes/No/Maybe)1911924. How likely are you to recommend us to others? (NPS scale)193194### 4. NPS & CSAT195196Measure and improve customer satisfaction. See `references/nps-csat.md` for survey templates.197198#### NPS (Net Promoter Score)199200**The Question:**201> "On a scale of 0-10, how likely are you to recommend [Product] to a friend or colleague?"202203**Scoring:**204- **Promoters (9-10):** Loyal enthusiasts who refer others205- **Passives (7-8):** Satisfied but vulnerable to competition206- **Detractors (0-6):** Unhappy customers who can damage brand207208**NPS Calculation:**209```210NPS = % Promoters - % Detractors211Range: -100 to +100212```213214**NPS Benchmarks:**215216| NPS Score | Rating | Context |217|-----------|--------|---------|218| 70+ | World-class | Top companies (Apple, USAA) |219| 50-69 | Excellent | Strong customer loyalty |220| 30-49 | Good | Healthy, room to improve |221| 0-29 | Needs work | More detractors than ideal |222| Negative | Critical | Urgent action needed |223224**B2B SaaS NPS Benchmarks:**225226| Segment | Median | Top Quartile |227|---------|--------|--------------|228| SMB | 30 | 50+ |229| Mid-market | 35 | 55+ |230| Enterprise | 40 | 60+ |231232#### CSAT (Customer Satisfaction Score)233234**The Question:**235> "How satisfied are you with [specific interaction/product]?"236237Scale: 1-5 or 1-7238239**CSAT Calculation:**240```241CSAT = (Satisfied responses / Total responses) × 100242"Satisfied" = top 2 scores (4-5 on 5-point scale)243```244245**When to Use Each:**246247| Metric | Best For | Timing |248|--------|----------|--------|249| **NPS** | Overall relationship, loyalty | Quarterly, after key milestones |250| **CSAT** | Specific interactions | After support ticket, after onboarding |251| **CES** | Ease of experience | After specific task completion |252253#### NPS Survey Implementation254255**Timing Strategy:**256257| Trigger | Rationale |258|---------|-----------|259| **Quarterly** | Regular pulse on relationship |260| **Post-onboarding** (Day 30) | Measure first impression |261| **Post-support resolution** | Measure support quality |262| **Pre-renewal** (60 days out) | Identify at-risk before too late |263264**Follow-up Questions (by segment):**265266For **Promoters (9-10):**267> "What do you love most about [Product]?"268> "Would you be open to leaving a review or being a reference?"269270For **Passives (7-8):**271> "What would make you rate us higher?"272> "What's one thing we could improve?"273274For **Detractors (0-6):**275> "We're sorry to hear that. What's the main reason for your score?"276> "What would it take to improve your experience?"277278#### NPS Follow-up Workflow279280| Segment | Response SLA | Action | Owner |281|---------|--------------|--------|-------|282| **Detractors** | 24 hours | Personal call, understand issue | CSM/CS Leader |283| **Passives** | 48 hours | Email follow-up, gather feedback | CSM |284| **Promoters** | 1 week | Thank you, referral/review ask | CSM/Marketing |285286### 5. Customer Health Scoring287288Predict and prevent churn before it happens. See `references/health-scoring.md` for detailed models.289290#### Health Score Components291292Build a composite score from multiple signals:293294| Category | Weight | Signals |295|----------|--------|---------|296| **Product Usage** | 40% | Login frequency, feature adoption, breadth of use |297| **Engagement** | 25% | Support tickets, NPS responses, event attendance |298| **Relationship** | 20% | Executive sponsor, champion strength, multi-threading |299| **Financial** | 15% | Payment history, contract value, expansion potential |300301#### Simple Health Score Model302303**For Early-Stage (Spreadsheet-Based):**304305| Dimension | Red (0 pts) | Yellow (1 pt) | Green (2 pts) |306|-----------|-------------|---------------|---------------|307| **Login Frequency** | No login 14+ days | 1-2x/week | 3+ times/week |308| **Feature Adoption** | Only 1 feature | 2-3 features | 4+ features |309| **Support Sentiment** | Negative tickets | Neutral | Positive/none |310| **Stakeholder Access** | No response | Single contact | Multi-contact |311| **NPS Score** | Detractor | Passive | Promoter |312313**Score Interpretation:**314- 8-10: Healthy (Green)315- 5-7: Needs attention (Yellow)316- 0-4: At risk (Red)317318#### Stage-Appropriate Health Scoring319320**Early-Stage (1-100 customers):**321- Manual health check spreadsheet322- Gut feel + basic usage data323- Review weekly with founder324- Focus on learning patterns325326**Growth (100-500 customers):**327- Simple scoring model in CRM328- Automated alerts for red accounts329- Weekly health review meeting330- Start documenting playbooks331332**Scale (500+ customers):**333- Automated health scoring platform334- ML-based churn prediction335- Real-time dashboards336- Tiered response playbooks337338#### Acting on Health Scores339340| Health | Action | Frequency | Goal |341|--------|--------|-----------|------|342| **Green** | Expansion focus | Quarterly QBR | Grow and advocate |343| **Yellow** | Engagement boost | Bi-weekly check-in | Return to green |344| **Red** | Intervention | Immediate | Save or learn |345346### 6. Support Processes & QBRs347348Build support systems that scale. See `references/support-processes.md` for templates.349350#### Support Tier Structure351352| Tier | Handles | Response Time | Escalation |353|------|---------|---------------|------------|354| **Tier 1** | FAQs, how-to, basic issues | <4 hours | Can't resolve in 1 interaction |355| **Tier 2** | Technical issues, bugs | <8 hours | Requires engineering |356| **Tier 3** | Engineering escalation | <24 hours | Product decisions needed |357358#### Support Metrics359360| Metric | Definition | Target |361|--------|------------|--------|362| **First Response Time** | Time to first human reply | <4 hours (business) |363| **Resolution Time** | Time to fully resolve | <24 hours (Tier 1) |364| **First Contact Resolution** | % resolved in one interaction | >70% |365| **CSAT (Support)** | Post-ticket satisfaction | >90% |366| **Ticket Volume per Customer** | Tickets / Active customers | Decreasing trend |367368#### QBR (Quarterly Business Review)369370**Purpose:** Demonstrate value, align on goals, identify expansion.371372**QBR Agenda (60 min):**373374| Section | Time | Content |375|---------|------|---------|376| **Business Update** | 5 min | Their company news, priorities |377| **Usage & Value** | 15 min | Metrics, ROI achieved |378| **Wins & Challenges** | 10 min | What's working, what's not |379| **Product Roadmap** | 10 min | Relevant upcoming features |380| **Goals & Action Plan** | 15 min | Next quarter objectives |381| **Expansion Discussion** | 5 min | Growth opportunities |382383**QBR Preparation Checklist:**384- [ ] Usage data and trends pulled385- [ ] ROI/value metrics calculated386- [ ] Support ticket summary reviewed387- [ ] Renewal date confirmed388- [ ] Expansion opportunities identified389- [ ] Stakeholder list updated390- [ ] Previous QBR action items reviewed391392#### When to Start QBRs393394| Customer Segment | QBR Frequency | Delivery |395|------------------|---------------|----------|396| **Enterprise** ($100K+) | Quarterly | In-person or video |397| **Mid-market** ($25-100K) | Bi-annually | Video call |398| **SMB** (<$25K) | Annually or trigger-based | Email summary |399400### 7. Building a CS Team401402**When to Hire First CSM:**403- [ ] 50+ customers404- [ ] Founder can't personally manage all relationships405- [ ] Churn is becoming a problem406- [ ] Clear patterns in what makes customers successful407408**CSM-to-Account Ratios:**409410| Segment | Ratio | Why |411|---------|-------|-----|412| **Enterprise** | 1:10-20 | High-touch required |413| **Mid-market** | 1:30-50 | Balanced touch |414| **SMB** | 1:100-200 | Tech-touch + pooled |415416**First CS Hire Profile:**417- Previous startup experience at similar stage418- Can build process, not just follow it419- Strong communication + empathy420- Comfortable with ambiguity421- Technical enough to understand product422423## Deliverables424425### 1. Onboarding Email Sequence426Create using `docx` skill:427- 6-8 email sequence with timing428- Subject lines and body copy429- Personalization placeholders430- Success metrics to track431432### 2. Onboarding Checklist433Create using `xlsx` skill:434- Step-by-step activation checklist435- Owner assignments436- Timeline targets437- Completion tracking438439### 3. Churn Analysis Framework440Create as markdown:441- Churn calculation formulas442- Segmentation dimensions443- Analysis template444- Intervention triggers445446### 4. NPS Survey + Workflow447Create using `docx` skill:448- Survey questions449- Follow-up sequences by segment450- Response SLAs451- Reporting template452453### 5. Customer Health Scorecard454Create using `xlsx` skill:455- Scoring dimensions and weights456- Red/yellow/green thresholds457- Account list with scores458- Action triggers459460### 6. QBR Template461Create using `pptx` skill:462- 8-10 slide deck template463- Agenda and discussion guide464- Metrics dashboard slide465- Action plan format466467### 7. Support Process Document468Create using `docx` skill:469- Tier definitions and escalation paths470- Response time SLAs471- Ticket categorization472- Metrics and reporting473474## Anti-Patterns475476**Onboarding Mistakes:**477- No defined activation moment (unclear success)478- Same onboarding for all customers (one-size-fits-none)479- Too many emails too fast (overwhelm)480- No measurement (can't improve what you don't track)481482**Churn Prevention Mistakes:**483- Reactive only (waiting for cancellation request)484- Not segmenting churn (treating all churn the same)485- No exit interviews (missing root causes)486- Focusing on save rate, not prevention487488**NPS Mistakes:**489- Survey fatigue (too frequent)490- No follow-up on responses (especially detractors)491- Gaming the score (only surveying happy customers)492- NPS as only metric (missing context)493494**Health Score Mistakes:**495- Too complex initially (analysis paralysis)496- Not acting on scores (dashboard without action)497- Static thresholds (not updating as you learn)498- Missing qualitative signals (relationship quality)499500**Support Mistakes:**501- No SLAs defined (inconsistent experience)502- No escalation path (tickets stuck in limbo)503- Not connecting support to product (missing feedback loop)504- Measuring volume, not quality505506## Integration with Other Skills507508- Use `product` skill for feature prioritization from CS feedback509- Use `growth-analytics` skill for retention metrics and cohort analysis510- Use `sales` skill for handoff process from sales to CS511- Use `operations` skill for CS team OKRs and hiring512- Use `business-model` skill for LTV/CAC and expansion revenue513- Use `docx` skill for process documentation and playbooks514- Use `xlsx` skill for health scorecards and metrics tracking515- Use `pptx` skill for QBR decks516517---518519*Adapted from [Linas Beliūnas's](https://linas.substack.com/p/onepersonunicorn) **The One-Person Unicorn** founder skill set.*