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How to Generate a Product Requirements Document (PRD) with a Single AI Prompt

Use a one sentence product idea as the trigger for a source grounded PRD, not as the complete requirement. Retrieve company evidence, generate linked problem and solution sections, compare prototypes, and revise from the earliest disputed assumption.

How to Generate a Product Requirements Document (PRD) with a Single AI Prompt

Source episode · 19:30

How I AI: Amplitude's Viral Internal AI Tool for Product Development

with Claire Vo

Wade shows Moda taking a one sentence product idea, retrieving internal context, generating problem exploration, solution exploration, detailed requirements, and prototype prompts, then letting reviewers comment high in the document and regenerate the dependent sections.

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Before you start

What you need

  • A concise product idea with target user and desired outcome
  • Approved internal research, support, analytics, strategy, and technical sources
  • A PRD structure with evidence, assumptions, non goals, risks, and open questions
  • Prototype tools and realistic synthetic data
  • Named reviewers from product, design, engineering, data, security, and other affected functions

What you’ll make

A linked PRD and prototype set that traces requirements to evidence, exposes assumptions and alternatives, and can regenerate dependent sections when reviewers change the problem definition.

Tools used

Step by step

The workflow

Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.

4 steps

Step01

Craft a Single-Sentence Prompt

Write one sentence that names the customer, problem, and desired outcome. Treat it as a query into company knowledge, and do not imply that the sentence contains enough evidence or detail to authorize a build.

Example prompt
Explore a product idea: [user] needs [capability] so they can [outcome]. Retrieve relevant customer feedback, analytics, strategy, prior decisions, and technical constraints from approved sources. Return evidence with links, contradictions, assumptions, and open questions before proposing requirements.
Step02

Trigger Automated PRD Generation

Run an orchestrated sequence for problem exploration, solution alternatives, detailed requirements, risks, and prototype instructions. Each stage should cite its inputs and mark which downstream sections depend on unresolved assumptions.

Step03

Send Prototyping Instructions to Design Tools

Send the prototype brief to several tools or generate several directions in one tool. Use the same source evidence, constraints, and evaluation criteria so visual polish does not decide the comparison.

Example prompt
Create three materially different prototype directions for [problem]. Preserve these constraints: [constraints]. Use realistic synthetic data. For each direction, explain the tradeoffs, assumptions, accessibility and edge states, technical questions, and what user evidence would support or reject it.
Step04

Review and Refine Iteratively

Review the problem, evidence, alternatives, requirements, and prototype with the affected disciplines. Comment at the earliest disputed premise, regenerate dependent sections, and record accepted decisions, rejected options, owners, and follow up research.

Example prompt
Based on the following PRD draft, refine the user stories. Rewrite each one to follow the format: "As a [user type], I want to [action] so that [benefit]." Then, for each story, add 3-5 specific acceptance criteria.

[paste PRD draft]

What good looks like

  • The problem statement names the user, job, evidence, scope, and uncertainty rather than expanding one sentence into invented facts.
  • Requirements link to sources or are clearly labeled assumptions, decisions, or open questions.
  • Several solution or prototype directions are compared against the same criteria.
  • Reviewers read the material sections, resolve high impact disagreements, and preserve a decision history.

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After the steps

Runbook notes

How to recover when the loop fails and where human judgment helps.

Recover

If it goes sideways

The generator turns a sparse idea into detailed but unsupported customer claims
Require retrieval citations, label unsupported content as an assumption, and stop generation when core evidence is missing.
A faulty problem statement contaminates every downstream section
Edit the highest incorrect section first, invalidate its dependents, and regenerate them from the corrected premise.
A large polished document discourages reviewers from finding important decisions
Lead with the decision, evidence, risks, open questions, and prototype, while keeping generated detail linked and collapsible.
One attractive prototype becomes the solution before alternatives are considered
Generate several directions from the same constraints and compare them with users, engineers, and design.

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