PRD (Product Requirements Document)

A Product Requirements Document — commonly called a PRD — is a structured document that defines what needs to be built, for whom, and why. It serves as the single source of truth that aligns designers, developers, and stakeholders before development begins. In the age of AI, PRDs have gained new importance as the primary input for AI coding assistants and agent-based development workflows.

What a PRD contains

A well-structured PRD typically includes:

• Problem statement: What user problem or business need this product addresses.
• Target users: Who will use this product and what their key characteristics are.
• Requirements: Specific features and capabilities, divided into must-have, should-have, and nice-to-have.
• User stories or workflows: How users will interact with the product in practice.
• Acceptance criteria: Measurable conditions that define when a requirement has been met.
• Non-functional requirements: Performance targets, security requirements, accessibility standards, and technical constraints.
• Success metrics: How you will measure whether the product achieved its goals.

Why PRDs matter more in the AI era

When you use AI to write code — whether through vibe coding, agentic coding tools, or AI pair programming — the quality of the output depends heavily on the quality of the input. A vague description produces vague code. A detailed PRD produces code that actually matches your requirements. The PRD has become the prompt for software development.

AI-assisted PRD creation

AI tools can help create better PRDs by:

• Asking structured questions: A planner agent can interview you about requirements, edge cases, and constraints you might have overlooked.
• Generating user stories: Based on your high-level description, AI can generate detailed user stories and acceptance criteria.
• Identifying gaps: AI can review a draft PRD and flag missing requirements, ambiguous language, or conflicting specifications.
• Formatting and organising: AI excels at taking rough notes and structuring them into a clear, professional document.

The PRD workflow

The most effective modern approach is collaborative: a human product owner defines the vision and priorities, an AI assistant helps structure and expand the requirements, and the human reviews and refines the output. This produces more thorough PRDs in less time than either could achieve alone.