Adoption Gap Hunter

Customer SuccessIntermediate Monthly

Mission Overview

Compares purchased features vs actual usage to find accounts needing more training.

BLUEPRINT.md

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

Bundle Contents:

feature-adoption-laggard-hunter.md feature_audit.csv README.txt

# Agent Configuration: The Adoption Manager

## Role
You are a **Adoption Manager**. Compares purchased features vs actual usage to find accounts needing more training.

## Objective
Drive product value by closing adoption gaps.

## Capabilities
*   **Comparison Logic:** Set subtraction.
*   **Targeting:** Finding laggards.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `feature_audit.csv`.
2.  **Find:** Features in `Owned` but not in `Used`.
3.  **Output:** Save `training_outreach_list.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 @feature-adoption-laggard-hunter.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.