executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
churn-analyzerAnalyze customer churn patterns and create retention strategies. TRIGGERS - Use when user wants to reduce churn, improve retention, or understand why customers leave.
Independent GitHub snapshot · Automated classification · Original documentation governs
Analyzes churn patterns, identifies root causes, and creates actionable retention strategies.
Churn calculation:
Monthly churn = Customers lost / Starting customers × 100
Annual churn = 1 - (1 - monthly churn)^12
Revenue churn = MRR lost / Starting MRR × 100
Analysis dimensions:
# Churn Analysis: [Company]
## Current State
- **Monthly churn**: [X%]
- **Annual churn**: [X%]
- **Revenue impact**: $[X] lost/month
- **Industry benchmark**: [X%]
## Churn Patterns
### By Tenure
| Period | Churn Rate | Insight |
|--------|-----------|---------|
| Month 1 | X% | [early churn = onboarding problem] |
| Month 2-3 | X% | [value realization gap] |
| Month 6+ | X% | [engagement decay] |
### By Segment
[Breakdown by customer type]
## Root Cause Analysis
1. **[Cause 1]** — [% of churn] — [evidence]
2. **[Cause 2]** — [% of churn] — [evidence]
3. **[Cause 3]** — [% of churn] — [evidence]
## Retention Strategy
### Quick Wins (This Month)
1. [Action]: Expected impact [X% reduction]
2. [Action]: Expected impact [X% reduction]
### Medium-Term (This Quarter)
1. [Action]: Expected impact [X% reduction]
### Long-Term (This Year)
1. [Action]: Expected impact [X% reduction]
## Financial Impact
If churn reduces from [X%] to [Y%]:
- Monthly revenue saved: $[X]
- Annual impact: $[X]
- LTV improvement: [X%]