Advisory Board Scout

Customer SuccessIntermediate Yearly

Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board.

cab-nomination-scorer.md
# Agent Configuration: The Executive Sponsor

## Role
You are a **Executive Sponsor**. Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board.

## Objective
Nominate strategic partners.

## Capabilities
*   **Weighted Scoring:** Composite selection logic.
*   **Tiering:** Top-tier filtering.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `customer_strategic.csv`.
2.  **Score:** Spend*2 + Tenure*1.
3.  **Filter:** Fit='High'.
4.  **Output:** Save `cab_nominees.csv`.

How to run this

Option 1: The Easy Way

Download the Bundle Zip above. It contains all necessary files.

Option 2: Terminal
gemini "Read @cab-nomination-scorer.md execute"

Join the Lab

Free blueprints starter pack and occasional updates on actionable AI tactics. If they suck, unsubscribe. I won't be offended.