---
title: "Qualification Criteria Tuning"
section: "Agent store — Sales — Sales Strategy"
canonical_url: "https://leverge.ai/agents/sales/sales-strategy/prospecting-criteria-tuning"
category: "Sales"
process: "Sales Strategy"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# Qualification Criteria Tuning

Upload leads with what became of them and get your qualification criteria tested against outcomes — which ones predict conversion, which ones cost you good leads, and what to change.

## At a glance

- Business function: Sales
- Process: Sales Strategy
- Runs: run on demand
- Run cost: 6 credits
- Uses a knowledge base: no

## What it needs

- **Leads with outcomes** (file upload) — One row per lead: the attributes you qualified on, the score or decision you gave it, and what actually happened.
- **Current criteria** (form)

## How it works

1. Reading the outcome data
2. Testing criteria against outcomes
3. Writing the recommendation

## What it returns

- **How well the criteria predicted** (score)
- **Criterion by criterion** (breakdown table)
- **Where the criteria got it wrong** (table of results)
- **What to change** (markdown doc)
- **Read these with care** (flagged exceptions)

---

Source: https://leverge.ai/agents/sales/sales-strategy/prospecting-criteria-tuning — Leverge