ChurnZero Signals
SkillMonitoring & opsChurnZero churn prediction and engagement signal monitoring
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the ChurnZero Signals skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/sales/skills/churnzero-signals/SKILL.md and read by ahel’s review.
Overview
The ChurnZero Signals skill provides integration with ChurnZero for real-time usage data, churn risk scoring, playbook automation, and NPS/CSAT data access. This skill enables proactive churn prevention and customer engagement optimization.
Capabilities
Real-Time Usage Data
- Access live product usage metrics
- Track feature adoption patterns
- Monitor login frequency and duration
- Identify usage decline trends
Churn Risk Scoring
- Retrieve churn risk scores
- Access scoring model components
- Track risk score changes
- Identify high-risk triggers
Playbook Automation
- Trigger automated playbooks
- Track playbook execution
- Measure playbook effectiveness
- Customize playbook actions
NPS & CSAT Data
- Access survey responses
- Track sentiment trends
- Segment by satisfaction level
- Correlate with usage patterns
Usage
Risk Assessment
Identify accounts with elevated churn risk scores and understand the contributing factors.
Usage Analysis
Analyze product usage patterns to identify accounts requiring adoption assistance.
Sentiment Monitoring
Track NPS and CSAT trends across the customer base to identify satisfaction patterns.
Enhances Processes
- customer-health-monitoring
- deal-risk-assessment
Dependencies
- ChurnZero subscription
- Product usage integration
- Survey configuration
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
churnzero-signals- Source
- github.com/a5c-ai/babysitter
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