What a PRD is for
A product requirements document (PRD) aligns the team on what you’re building, why, and for whom. It’s the reference that engineering, design, and stakeholders return to, so it should be clear, specific, and easy to update.
A clear PRD aligns everyone on what you’re building and why. This guide covers what to include, a simple structure, and how AI speeds up drafting.
Problem and goals
Start with the why and the outcome.
Requirements
Spell out what you’re building.
Scope
Be clear about what’s in and out.
AI drafting
Turn notes into a structured PRD.
What you can do with Wyatt
Problem and goals
Start with the why and the outcome.
Requirements
Spell out what you’re building.
Scope
Be clear about what’s in and out.
AI drafting
Turn notes into a structured PRD.
A product requirements document (PRD) aligns the team on what you’re building, why, and for whom. It’s the reference that engineering, design, and stakeholders return to, so it should be clear, specific, and easy to update.
A good PRD typically covers the problem and context, goals and success metrics, the target user, the requirements or solution, scope (what’s in and explicitly out), open questions, and dependencies. Keep it focused — clarity beats length.
Start with the problem and goals so everyone understands the why. Then describe the solution and requirements, define scope, and list open questions and risks. End with how success will be measured. Use a template so every PRD is consistent.
Avoid writing requirements without the problem behind them, leaving scope ambiguous, or letting the PRD go stale after kickoff. The best PRDs stay connected to the tasks that implement them and get updated as decisions change.
In Wyatt you can start from a PRD template, use the assistant to draft sections from your notes and research, and link the PRD to the specs and tasks that deliver it — so the document stays connected to the work instead of going stale.
The problem and context, goals and metrics, target user, requirements, scope, open questions, and dependencies.
As long as needed to be clear and no longer — focus on clarity over length.
AI can draft sections from your notes and research, expand points into clear requirements, and keep structure consistent.
Keep it connected to the tasks that implement it and update it as decisions change — easy when it lives in your workspace.