Operations Workflows Workflow Intermediate

AI Product Requirements Workflow

Turn a fuzzy business need into requirements a team can build from — interrogate the need into concrete requirements, shape them as user stories, and write the PRD.

The problem

'Build me a dashboard' means five different products to the five people in the room, and the gap doesn't surface until someone's built the wrong one. Requirements are the boring document that prevents that — the concrete statement of what the product must do, for whom, and how you'll know it's done. The trap is treating a one-line ask as if it were a spec. This workflow puts an assistant to work interrogating the need into real requirements, shapes them into testable user stories, and writes the document the team can build from and argue against.

Recommended workflow

Each step uses an existing NewPrompt tool, pre-filled by a matching resource. Open the resource to read it, or jump straight into the tool with the inputs ready.

  1. Interrogate the need into requirements

    Set up an assistant whose job is to pull a fuzzy business need apart into concrete requirements — asking the who, what, why, and edge cases — instead of nodding along to 'build me an X'.

    Goal A need turned into questioned, concrete requirements rather than a one-liner.

    Resource Product Requirements Assistant
    Tool System Prompt Generator
    Open this step in System Prompt Generator

  2. Shape them as user stories

    Turn the requirements into structured user stories — as a role, I want a capability, so that an outcome — with the variable parts explicit, so each one is testable and assignable rather than a vague wish.

    Goal Requirements expressed as concrete, testable user stories.

    Resource User Story Variable Builder
    Tool Prompt Variable Builder
    Open this step in Prompt Variable Builder

  3. Write the requirements document

    Assemble the stories, constraints, and acceptance criteria into a product requirements document the team can build from — not a paragraph that means something different to everyone who reads it.

    Goal A PRD the team can build from and align on.

    Resource PRD Prompt — Consistent Product Requirement Documents
    Tool Markdown Output Builder
    Open this step in Markdown Output Builder

Expected outcome

A vague business need becomes a written requirements document — concrete user stories, constraints, and acceptance criteria — so the team builds the same product instead of three different ones from the same sentence.

Best for

  • Turning a business need into product requirements
  • Writing a PRD from a rough idea
  • Aligning a team on what the product must do

Not for

  • Scoping the first release — use the AI MVP Planning Workflow
  • Designing how to build it — use the AI Project Architecture Workflow

FAQ

How is this different from the AI MVP Planning Workflow?

Requirements define WHAT the product must do — the full set. MVP planning then decides which slice ships FIRST. You write the requirements, then cut them down to an MVP. Different jobs: define versus prioritize.

How is this different from the AI Project Architecture Workflow?

Requirements are what the product must do; architecture is how you'll build it. Requirements come first and feed both the architecture and the MVP cut. WHAT before HOW.

Does the AI invent my requirements?

No — it interrogates the need you bring and structures the answers. The product decisions stay yours; the workflow makes them explicit, testable, and written down.

Part of these blueprints

Complete build journeys that include this workflow as a stage.

Blueprint Build a SaaS MVP with AI The full path from idea to a shipped SaaS MVP — define and scope the requirements, design the architecture, API, and data model, then build it reviewed, tested, secured, cost-controlled, and deployed. View Blueprint → Blueprint Build an API Backend with AI The full path to a backend you can put clients on — define the requirements, design the architecture, API contract, data model, and access control, then build it reviewed, tested, secured, and shipped. View Blueprint → Blueprint Build a Marketplace with AI The full path to a two-sided platform — define the buyer-and-seller requirements, model the data, design the API, build roles and permissions, wire integrations, design the UI, then test, secure, and ship it. View Blueprint → Blueprint Build a CRM with AI The full path to a CRM that fits your sales process — define the contacts, deals, and pipeline, model the data that ties them together, then build the roles, integrations, and pipeline UI, and ship. View Blueprint → Blueprint Build an E-commerce Store with AI The full path to a store you own end to end — model the catalog and orders, design the storefront and checkout, add customer accounts and payments, then secure it, test it, and ship. View Blueprint →

Where to go next

Recommended next workflow AI MVP Planning Workflow Cut a product idea down to the smallest first release that proves the core value — separate the real must-haves from everything that can wait, then define the MVP and its success signal. Use when You have a product idea and need to define the smallest first release that proves the core value — by cutting scope. Start this workflow

Related workflows

Coding Workflows AI Project Architecture Workflow Design a system's architecture on its real trade-offs instead of a confident diagram — put the model in an architect's seat, work the decisions one at a time, and write down the why. Use when You're designing a new system or feature and need to decide and document the architecture before building it. View Playbook →

Tip: Each step's resource opens its tool pre-filled — start at step one and carry the output forward.

All playbooks