Aj Geddes Useful AI Prompts User Story Writing

User Story Writing

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Well-written user stories communicate requirements in a user-focused way, facilitate discussion, and provide clear acceptance criteria for developers and testers.

When to Use

• Breaking down requirements into development tasks
• Product backlog creation and refinement
• Agile sprint planning
• Communicating features to development team
• Defining acceptance criteria
• Creating test cases

Quick Start

Minimal working example:

# User Story Template

**Title:** [Feature name]

**As a** [user role/persona]
**I want to** [action/capability]
**So that** [business value/benefit]

---

## User Context

- User Role: [Who is performing this action?]
- User Goals: [What are they trying to accomplish?]
- Use Case: [When do they perform this action?]

---

## Acceptance Criteria

Given [precondition]
When [action]
Then [expected result]

Example:
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Write from the user's perspective
• Focus on value, not implementation
• Create stories small enough for one sprint
• Define clear acceptance criteria
• Use consistent format and terminology
• Have product owner approve stories
• Include edge cases and error scenarios
• Link to requirements/business goals
• Update stories based on learning
• Create testable stories

❌ DON'T

• Write technical task-focused stories
• Create overly detailed specifications
• Write stories that require multiple sprints
• Forget about non-functional requirements
• Skip acceptance criteria
• Create dependent stories unnecessarily
• Write ambiguous acceptance criteria
• Ignore edge cases
• Create too large stories
• Change stories mid-sprint without discussion

Converted and distributed by TomeVault — claim your Tome and manage your conversions.