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Afrexai Customer Success

Customer Success Playbook

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

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skillhub install 1kalin/afrexai-customer-success

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技能说明

Customer Success Playbook

Build and run a customer success operation for B2B SaaS. Covers the full lifecycle: onboarding, health scoring, QBRs, churn prevention, and expansion revenue.

When to Use

  • Setting up a CS function from scratch
  • Designing onboarding flows for new customers
  • Building health score models
  • Preparing QBR templates and cadences
  • Creating churn intervention playbooks
  • Planning expansion and upsell motions

Workflow

1. Assess Current State

Ask the user:

  • Company stage (seed, Series A, growth, scale)
  • Current ARR and customer count
  • Average contract value (ACV)
  • Current CS team size (or zero)
  • Primary churn reasons if known
2. Design Lifecycle Stages

Map the customer journey:

Stage Duration Owner Key Metric
Onboarding Days 0-30 CS Lead Time to First Value
Adoption Days 30-90 CSM Feature adoption %
Retention Ongoing CSM Health score, NRR
Expansion Trigger-based CSM + AE Expansion MRR
Renewal T-90 days CSM Renewal rate
Advocacy Post-renewal CS Lead NPS, referrals
3. Build Health Score

Weight these signals (0-100 composite):

  • Product usage (25%): DAU/MAU ratio
  • Feature breadth (15%): Features used vs available
  • Support load (15%): Ticket volume and sentiment
  • Executive engagement (15%): Meeting frequency
  • Satisfaction (10%): NPS or CSAT
  • Growth signals (10%): Seat/usage expansion
  • Payment (10%): On-time history

Thresholds: 80+ healthy, 60-79 monitor, 40-59 at-risk, <40 critical.

4. Create Onboarding Checklist

Week 1: Foundation (kickoff, tech setup, admin training, define 3 success outcomes) Week 2-3: Activation (user training, configure workflows, first quick win) Week 4: Handoff (retrospective, baseline metrics, ongoing cadence)

TTFV target: <14 days SMB, <30 days Enterprise.

5. QBR Template

45-minute agenda:

  1. Results recap with ROI numbers (10 min)
  2. Usa...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-customer-success
Version
—
Commit
e8dd549ffbce855a82667ab00dd1108af76c0843
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Customer Success Playbook

Complete framework for building and scaling a B2B SaaS customer success operation.

Covers onboarding, health scoring, QBRs, churn prevention, expansion revenue, and CSM capacity planning.

What's Inside

  • Customer lifecycle stage design
  • Health score model (7 weighted signals)
  • Onboarding checklist with TTFV benchmarks
  • QBR template and prep checklist
  • 3-tier churn intervention playbook
  • Expansion signal detection and plays
  • CSM capacity model by segment
  • Metrics dashboard specification

Who It's For

  • SaaS founders building their first CS function
  • CS leaders redesigning their playbook
  • Revenue ops teams optimizing NRR
  • Anyone targeting net revenue retention above 110%

Install

clawhub install afrexai-customer-success

More from AfrexAI

Built by AfrexAI.

来源内容

SKILL.md
# Customer Success Playbook

Build and run a customer success operation for B2B SaaS. Covers the full lifecycle: onboarding, health scoring, QBRs, churn prevention, and expansion revenue.

## When to Use
- Setting up a CS function from scratch
- Designing onboarding flows for new customers
- Building health score models
- Preparing QBR templates and cadences
- Creating churn intervention playbooks
- Planning expansion and upsell motions

## Workflow

### 1. Assess Current State
Ask the user:
- Company stage (seed, Series A, growth, scale)
- Current ARR and customer count
- Average contract value (ACV)
- Current CS team size (or zero)
- Primary churn reasons if known

### 2. Design Lifecycle Stages
Map the customer journey:

| Stage | Duration | Owner | Key Metric |
|-------|----------|-------|------------|
| Onboarding | Days 0-30 | CS Lead | Time to First Value |
| Adoption | Days 30-90 | CSM | Feature adoption % |
| Retention | Ongoing | CSM | Health score, NRR |
| Expansion | Trigger-based | CSM + AE | Expansion MRR |
| Renewal | T-90 days | CSM | Renewal rate |
| Advocacy | Post-renewal | CS Lead | NPS, referrals |

### 3. Build Health Score
Weight these signals (0-100 composite):
- **Product usage** (25%): DAU/MAU ratio
- **Feature breadth** (15%): Features used vs available
- **Support load** (15%): Ticket volume and sentiment
- **Executive engagement** (15%): Meeting frequency
- **Satisfaction** (10%): NPS or CSAT
- **Growth signals** (10%): Seat/usage expansion
- **Payment** (10%): On-time history

Thresholds: 80+ healthy, 60-79 monitor, 40-59 at-risk, <40 critical.

### 4. Create Onboarding Checklist
Week 1: Foundation (kickoff, tech setup, admin training, define 3 success outcomes)
Week 2-3: Activation (user training, configure workflows, first quick win)
Week 4: Handoff (retrospective, baseline metrics, ongoing cadence)

TTFV target: <14 days SMB, <30 days Enterprise.

### 5. QBR Template
45-minute agenda:
1. Results recap with ROI numbers (10 min)
2. Usa...
README
# Customer Success Playbook

Complete framework for building and scaling a B2B SaaS customer success operation.

Covers onboarding, health scoring, QBRs, churn prevention, expansion revenue, and CSM capacity planning.

## What's Inside
- Customer lifecycle stage design
- Health score model (7 weighted signals)
- Onboarding checklist with TTFV benchmarks
- QBR template and prep checklist
- 3-tier churn intervention playbook
- Expansion signal detection and plays
- CSM capacity model by segment
- Metrics dashboard specification

## Who It's For
- SaaS founders building their first CS function
- CS leaders redesigning their playbook
- Revenue ops teams optimizing NRR
- Anyone targeting net revenue retention above 110%

## Install
```
clawhub install afrexai-customer-success
```

## More from AfrexAI
- [AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/) — $47/pack for 10 industries
- [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your AI stack in 5 minutes

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/).

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