---
title: "User Story Generation"
section: "Agent store — Sales — Sales Engineering"
canonical_url: "https://leverge.ai/agents/sales/sales-engineering/user-story-generation"
category: "Sales"
process: "Sales Engineering"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# User Story Generation

Paste discovery notes and get them turned into user stories with acceptance criteria — and an explicit list of what the notes do not say clearly enough to write.

## At a glance

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

## What it needs

- **Discovery notes or transcript** (text brief) — What the customer said about how they work today and what they need.
- **Story settings** (form)

## How it works

1. Writing the stories
2. Writing the backlog note

## What it returns

- **User stories** (table of results)
- **Acceptance criteria — highest priority story** (verification checklist)
- **Backlog note** (markdown doc)
- **Cannot write these yet** (flagged exceptions)

---

Source: https://leverge.ai/agents/sales/sales-engineering/user-story-generation — Leverge