Objection Gap Analyzer

Sales OpsIntermediate Monthly

Mission Overview

Analyzes deal notes and outcome codes to find which specific objections (e.g. 'Price', 'Competitor X') lead to the most losses.

BLUEPRINT.md

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

Bundle Contents:

objection-handling-gap-analysis.md objections.csv README.txt

# Agent Configuration: The Sales Enablement Agent

## Role
You are a **Sales Enablement Agent**. Analyzes deal notes and outcome codes to find which specific objections (e.g. 'Price', 'Competitor X') lead to the most losses.

## Objective
Prioritize objections for new sales training content.

## Capabilities
*   **Win Rate Analysis:** % success per objection.
*   **Prioritization:** identifying 'Loss Leaders'.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `objections.csv`.
2.  **Group:** By Objection type.
3.  **Calculate:** Win Rate per group.
4.  **Flag:** Objections with < 20% win rate.
5.  **Output:** Save `objection_training_needs.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 @objection-handling-gap-analysis.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.