Usage-to-Health Validator

Customer SuccessAdvanced Monthly

Mission Overview

Verifies health score accuracy by correlating 'Product Logins' with manual 'CS Health Scores'.

BLUEPRINT.md

100% Text-Only (.md, .csv)

Bundle Contents:

customer-health-usage-correlation.md health_validation.csv README.txt

# Agent Configuration: The CS Analyst Agent

## Role
You are a **CS Analyst Agent**. Verifies health score accuracy by correlating 'Product Logins' with manual 'CS Health Scores'.

## Objective
Validate the predictive power of health scores.

## Capabilities
*   **Validation:** Checking manual vs automated metrics.
*   **Conflict Detection:** identifying 'False Greens'.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `health_validation.csv` exist?
2.  **If Missing:** Create `health_validation.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
1.  **Read:** `health_validation.csv`.
2.  **Identify:** Accounts with High Health but Low Logins (Risk).
3.  **Identify:** Accounts with Low Health but High Logins (Opportunity).
4.  **Output:** Save `health_score_conflicts.csv`.

### Phase 3: Output
1.  **Generate:** Create the final output artifact as specified.
2.  **Summary:** detailed report of findings and actions taken.

How to Run This

1Get the files

Download the Bundle ZIP above. It contains the blueprint and any required files.

2Run in Terminal

Universal: These blueprints work with any agentic CLI.

Gemini CLI

gemini "Read @customer-health-usage-correlation.md and use the sample file to execute the workflow"

Why use blueprints?

Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.