AI PRD Generator: Template and Acceptance Criteria

An AI PRD generator can help turn scattered app notes into a product requirements document. The useful output is a scope you can question: who the feature serves, which problem it addresses, what belongs in the first version and how you would check its behavior. A longer feature list is not necessarily a better plan.

Brainbaby lets you prepare a PRD drafting brief below, then open that text as an editable chat draft. Start with your own approved notes or try the fictional example. Review the requirements before using an app builder; generating a document does not establish that the product works or that customers want it.

Prepare your PRD brief, or download the blank PRD worksheet (.md) to plan locally. Both steps are free and need no account. Sending a chat request uses your account allowance; check current plans and allowances before generating.

What should a product requirements document contain?

A compact PRD should explain the problem, intended user, proposed outcome, scope, user flows, acceptance criteria and unresolved questions. Add references to the notes that support important decisions. Distinguish an observation from an assumption and a proposed goal from a measured result.

Atlassian’s official PRD guide describes requirements around purpose, goals, assumptions, user stories, designs and open questions. This worksheet follows that general planning principle with an original example and review checklist. It does not reproduce Atlassian’s template or connect Brainbaby to Jira.

For a first draft, one clearly bounded workflow is usually easier to inspect than a specification for an entire company. Write the next decision the document should support: approving a prototype scope, estimating effort or identifying a missing requirement. Keep delivery dates and budgets unconfirmed until someone responsible has reviewed them.

A PRD template for a small app feature

Use these sections in the worksheet or in a document your team already maintains:

Problem and source: Describe the friction, its source and what you have actually observed. If the idea has no user research yet, say so.
User and situation: Identify one person, their starting point and the task they need to complete. Include accessibility and language needs you know about.
Proposed outcome: State the behavior you want to change. A suggested metric needs a definition, baseline and measurement plan before it becomes evidence.
First-version scope: List the smallest coherent workflow. Give each requirement an ID so a design, implementation task and test can refer to the same item.
Non-goals: Name attractive features you are deliberately deferring. These are planning decisions, not claims that the product can never support them.
User stories and acceptance criteria: Explain the user’s need, then describe observable conditions for checking it. Include failure and empty states.
Data, permissions and dependencies: Record what information is collected, who may access it and which integrations still need decisions.
Open questions and review: Assign an owner to unanswered questions. Record the version reviewed and the next decision; approval of the document is separate from approval to launch.

This structure works for a website feature, a small internal tool or an early app prototype. An existing production system may need additional security, legal, reliability and migration requirements based on its actual context. The AI cannot infer those obligations from a two-sentence idea.

Worked example: a community workshop request list

The following is a fictional planning exercise, not a deployed Brainbaby app, a customer result or validated demand. Suppose a community workshop wants staff to record requests for equipment demonstrations. The supplied note says staff currently write requests on paper. No research sample, performance baseline or approved launch date has been provided.

The first version is a staff-only prototype with local demonstration data: enter a request, see a list and mark an item reviewed. Public bookings, payments, equipment availability, confirmation emails and accounts are outside this example’s scope. Local prototype storage is not a production persistence or privacy design.

Requirement and source	User story	Proposed acceptance criteria	Status and next question
R-1: staff note A asks to capture a demonstration request	As a staff member, I want to record a requested demonstration so I can discuss it at the next review.	Given an empty form, submitting without a topic shows a labelled validation message and preserves entered notes. A valid topic creates exactly one visible request after one submission.	Proposed; decide the allowed topic length and duplicate-submission handling.
R-2: staff note A asks for a request list	As a staff member, I want to see recorded requests so I can prepare the review.	With no requests, show an explanatory empty state. With demonstration requests, display the topic and review state for each item.	Proposed; decide ordering and the final storage model before production.
R-3: proposed workflow, not in the source note	As a staff member, I want to mark a request reviewed so the list reflects the discussion.	Marking one demonstration request reviewed changes that item’s visible state and leaves other items unchanged.	Assumption to confirm with the workshop; not an approved requirement.
R-4: proposed success measure	The workshop wants to know whether requests are easier to review.	Define how to observe a review, which period to compare and what counts as a completed request review.	Measurement plan missing; no improvement percentage or target approved.

A proposed requirement is not an implemented or tested feature. R-3 must remain an assumption until someone confirms it. R-4 deliberately has no invented baseline or claimed time saving. A generated prototype might visually demonstrate R-1 while still needing keyboard, validation, persistence and duplicate-submission checks.

How to write acceptance criteria that someone can check

“Make it intuitive” expresses an intention, but it is difficult to verify on its own. Replace it with a concrete starting state, action and expected result. For example: “With an empty request topic, submit the form; the topic field receives a clear error and the existing notes remain available.” That describes an observable check without pretending the check has passed.

Include an ordinary path, an empty state and a relevant failure state. If a requirement depends on a service, define the expected behavior when that service is unavailable. Do not add a payment, login or email integration to make the example sound more complete. First decide whether the workflow needs it and who owns its implementation and operation.

Keep acceptance criteria separate from test results. A criterion says what should happen. A test record says which build, environment and inputs were checked, what happened and whether the result passed. Asking the AI to write a checklist does not execute those checks.

Prepare a PRD draft with Brainbaby

The planner below accepts source notes, the scope you want drafted, the intended audience and constraints. Its source field supports up to 5,000 characters. Select the fictional example to see the shape of a brief, then replace it with notes you may share. It is a text planner, not a full-repository scanner or a whole-document PRD importer.

“Prepare brief” assembles editable instructions locally. It does not contact a model, build an app or consume generation credits. Check the resulting text before continuing. The explicit continuation opens an editable chat draft through sign-up or your existing session; sending that draft is a separate action using your account allowance. The private same-tab handoff is temporary, so copy text you need to retain.

A useful request asks the assistant to preserve requirement IDs, identify unsupported assumptions and return questions alongside the draft. Avoid asking it to fill every blank with confident detail. A missing decision is useful information for a product owner or developer.

Move from the reviewed PRD into an app prototype

After reviewing the draft, choose one approved workflow and open Brainbaby’s web app builder. Copy the approved MVP scope into its idea field yourself. This link does not transfer your PRD automatically, and the PRD-writing instructions are not a build request. Review the builder’s account and allowance information before starting a build.

A separate prototype request can use this pattern:

Build a prototype for [approved user and task]. Implement only [approved requirement IDs and behavior]. Use [agreed demonstration data]. Show the empty and validation states described in [criteria]. Keep [non-goals] outside scope. Label demonstration content clearly. List unimplemented dependencies and checks I still need to run. Do not describe this prototype as production ready.

Replace every bracket with reviewed information. For the fictional workshop, a prototype could demonstrate a local request list without claiming shared storage, permission controls, email delivery or real equipment bookings. A working interface and a production service have different evidence requirements.

If you need help comparing building approaches first, read the no-code AI app builder guide. If the scope originated in a client conversation, use the discovery-call-to-proposal worksheet to distinguish agreed work from open questions.

Keep the PRD connected to implementation decisions

Save a reviewed version where your team can find it. Keep requirement IDs stable when creating design notes or implementation tasks. When the scope changes, record what changed and why; do not silently rewrite old acceptance evidence to match a new feature.

Linear’s official Documents documentation describes documents attached to work references and a version history. Those are Linear’s documented capabilities. This Brainbaby drafting flow does not claim a Linear integration, automatic ticket creation or synchronized project documents. You can manually maintain the reviewed text in your chosen workspace.

Questions about AI PRD generators

Can I create a PRD before I have customer research?

Yes, as a proposal. Label the user problem and expected value as hypotheses where appropriate. Use the draft to decide what to ask or test next; do not turn an imagined interview into a customer quote.

Does Brainbaby automatically implement the PRD?

No. Preparing this brief creates text. Sending it to chat requests a document draft. Starting a separate app build requires a reviewed build scope and the builder’s own action. Neither step proves that all requirements were implemented or passed testing.

Is the PRD worksheet free?

Yes. The blank Markdown worksheet and local brief preparation are free. Chat drafting and app building use the allowance shown in your account. Review current pricing for the available plans; this guide does not promise unlimited generation.

Should a PRD include technical architecture?

Include known constraints and unresolved technical decisions. Avoid presenting a guessed stack, security design or data model as an approved engineering decision. Review those choices with the people responsible for building and operating the system.

What should I do before starting a build?

Check that the first version has a clear user, a bounded workflow, explicit non-goals and observable acceptance criteria. Confirm the assumptions that would change the design. Then prepare a separate prototype request using the approved scope, and keep implementation status and test results separate from the requirements document.