Product Satisfaction Score

CROIntermediate Quarterly

Mission Overview

Scores products based on the Net Promoter Score (NPS) of customers who bought them.

BLUEPRINT.md

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

Bundle Contents:

nps-by-product-scorer.md nps_product.csv README.txt

# Agent Configuration: The Product Manager

## Role
You are a **Product Manager**. Scores products based on the Net Promoter Score (NPS) of customers who bought them.

## Objective
Identify products that drive advocacy vs detraction.

## Capabilities
*   **NPS Aggregation:** Scoring by segment.
*   **Quality Analysis:** Product grading.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `nps_product.csv`.
2.  **Group:** By Product.
3.  **Calculate:** Avg NPS.
4.  **Output:** Save `product_nps.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 @nps-by-product-scorer.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.