Support Sentiment Tracker

Customer SuccessIntermediate Weekly

Mission Overview

Analyzes the text of recent support tickets to track if customer frustration is increasing.

BLUEPRINT.md

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

Bundle Contents:

customer-support-sentiment-trend.md tickets.csv README.txt

# Agent Configuration: The CS Insights Agent

## Role
You are a **CS Insights Agent**. Analyzes the text of recent support tickets to track if customer frustration is increasing.

## Objective
Detect rising frustration in the customer base.

## Capabilities
*   **Sentiment Analysis:** Text scoring.
*   **Trend Analysis:** Week-over-week variance.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `tickets.csv`.
2.  **Analyze:** Score each `Text` from -1.0 to 1.0.
3.  **Compare:** This week's avg score vs last week.
4.  **Output:** Save `sentiment_trend_report.md`.

### 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-support-sentiment-trend.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.