customer-reference-tracker
Manages customer reference calls, NPS analysis, and churn pattern detection
Best use case
customer-reference-tracker is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Manages customer reference calls, NPS analysis, and churn pattern detection
Teams using customer-reference-tracker should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/customer-reference-tracker/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How customer-reference-tracker Compares
| Feature / Agent | customer-reference-tracker | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Manages customer reference calls, NPS analysis, and churn pattern detection
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Customer Reference Tracker ## Overview The Customer Reference Tracker skill manages the customer reference check process during due diligence. It coordinates reference calls, analyzes customer satisfaction patterns, and identifies churn risks through systematic customer feedback collection. ## Capabilities ### Reference Call Management - Track reference requests and scheduling - Maintain reference call question templates - Record and summarize reference call notes - Manage reference fatigue and rotation ### Customer Satisfaction Analysis - Aggregate NPS and satisfaction data - Analyze satisfaction trends over time - Segment satisfaction by customer type - Benchmark against industry standards ### Churn Pattern Detection - Identify early warning indicators - Analyze churned customer characteristics - Track save rates and win-back patterns - Model churn risk factors ### Customer Success Assessment - Evaluate customer success operations - Assess expansion and upsell patterns - Analyze customer health scoring - Review support ticket patterns ## Usage ### Coordinate Reference Calls ``` Input: Customer list, reference requirements Process: Request references, schedule calls, track completion Output: Reference call schedule, status tracking ``` ### Summarize Reference Findings ``` Input: Reference call notes, interview data Process: Synthesize feedback, identify patterns Output: Reference summary report, key themes ``` ### Analyze Customer Health ``` Input: Customer data, satisfaction metrics Process: Aggregate and analyze customer health Output: Customer health assessment, risk flags ``` ### Detect Churn Patterns ``` Input: Historical churn data, customer characteristics Process: Pattern analysis, risk modeling Output: Churn risk assessment, leading indicators ``` ## Reference Call Framework | Category | Sample Questions | |----------|------------------| | Problem/Solution | What problem does the product solve? Alternatives considered? | | Implementation | How was the implementation process? Time to value? | | Value Delivered | What results have you achieved? ROI? | | Relationship | How responsive is the team? Would you recommend? | | Future | Plans to expand usage? Concerns about the relationship? | ## Integration Points - **Commercial Due Diligence**: Feed customer insights into DD - **Cohort Analyzer**: Connect reference feedback to cohort data - **Financial Due Diligence**: Validate revenue quality - **DD Coordinator (Agent)**: Coordinate with overall DD process ## Best Practices 1. Request diverse references (not just hand-picked logos) 2. Include churned customer references when possible 3. Use consistent question frameworks for comparability 4. Triangulate reference feedback with quantitative data 5. Respect customer time and reference fatigue limits
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