Customize Your PRD

Choose what you want your PRD to contain before AI generates it.

PRD sections

25 sections selected· 5 excluded · of 30 available

Estimated PRD

~18–23 pages

Required

Recommended

AI-Specific

Optional

Every section can be removed — including required ones. Removing a required or AI-specific section shows a warning and records the override; it never hard-blocks generation.

PRD Sections — 30 available

Recommended order
#SectionStatusInclude
01

Product Overview

Product / feature name, one-line description, owner, status, version, date and stakeholders.

Why it matters: Reviewers need to know what this is and who owns it before anything else.

Required
02

Problem Statement

The user problem, who experiences it, frequency, severity and cost.

Why it matters: Everything downstream is only defensible if the problem is stated precisely.

Required
03

Evidence & User Research

Interviews, surveys, tickets, analytics, customer feedback and market research.

Why it matters: Separates a product decision from an opinion.

Recommended
04

Target Users / Personas

Primary and secondary users, needs, pains, goals and jobs-to-be-done.

Why it matters: Every requirement is held against a specific user, not an audience.

Required
05

Current Experience / Existing Solution

Today's workflow, tools, manual workarounds and alternatives.

Why it matters: Today's workaround is the real competition.

Recommended
06

Product Vision & Goals

User goals, business goals and product goals, kept distinct from features.

Why it matters: Goals decide trade-offs when scope is cut.

Required
07

Non-Goals / Out of Scope

What this release will not solve and what is intentionally deferred.

Why it matters: Unstated non-goals are the most common source of scope creep.

Required
08

Success Metrics

Primary, secondary and guardrail metrics with baseline, target and method.

Why it matters: Without measurable criteria you cannot tell whether the product worked.

Required
09

Research Insights

Observation, evidence, interpretation and product implication per insight.

Why it matters: Shows the reasoning between raw research and product decisions.

Recommended
10

Assumptions

Validated, unvalidated and high-risk assumptions.

Why it matters: Names the beliefs that could invalidate the product.

Recommended
11

Open Questions / Decisions Needed

Question, why it matters, owner and status.

Why it matters: Makes unresolved decisions explicit instead of silently assumed.

Recommended
12

Proposed Solution

Solution overview, core experience, capabilities and intentional exclusions.

Why it matters: The product decision itself, stated once and clearly.

Required
13

User Journeys / User Flows

Happy path, alternative paths, error states, edge cases and recovery.

Why it matters: Flows expose the states requirements forget.

Recommended
14

Feature Prioritization

Feature, problem solved, priority (P0/P1/P2), rationale and dependencies.

Why it matters: Turns a flat feature list into a sequencing decision.

Recommended
15

Functional Requirements

Uniquely identified requirements with priority, source, story, criteria and dependencies.

Why it matters: The contract between product and engineering.

Required
16

User Stories

As a [user], I want [action], so that [outcome] — with persona, priority and links.

Why it matters: Keeps requirements attached to user value.

Required
17

Acceptance Criteria

Given / When / Then criteria that are testable.

Why it matters: Defines done in a way QA can verify.

Required
18

UX / Design Requirements

Navigation, hierarchy, interaction, accessibility, content and required states.

Why it matters: Design needs states, not screenshots.

Recommended
19

Edge Cases

Missing input, no results, conflicts, permissions, failures, AI uncertainty, abandonment.

Why it matters: Edge cases are where trust is won or lost.

Recommended
21

AI / ML Requirements

AI capability, inputs, knowledge sources, grounding, output, behaviour, guardrails, human oversight, evaluation, failure modes and cost.

Why it matters: For an AI product this is the specification; everything else is packaging.

AI-Specific
22

Engineering Requirements

APIs, data, auth, permissions, integrations, performance, scalability and security.

Why it matters: Surfaces the technical decisions the PM must not make alone.

Recommended
23

Analytics & Instrumentation

Event name, trigger, properties and purpose, connected to goals and metrics.

Why it matters: Metrics without instrumentation are aspirations.

Recommended
24

Risks & Mitigations

Risk, probability, impact, mitigation, owner and status.

Why it matters: Names what could go wrong while it is still cheap to prevent.

Recommended
25

Dependencies

Engineering, design, data, AI/ML, third parties, security, legal, compliance and GTM.

Why it matters: Dependencies are the most common cause of slipped launches.

Recommended
30

Product Readiness Summary

Overall readiness plus problem, user, business, requirements, UX, engineering and measurement scores.

Why it matters: Diagnostic, not an approval gate — it shows what is still missing.

Recommended

Excluded from this PRD

5 sections
20Wireframe Requirements
Optional

Impact of excluding: Wireframes may introduce functionality absent from the PRD.

26Release / Rollout Plan
Optional

Impact of excluding: Launch sequencing is undefined.

27GTM / Launch Considerations
Optional

Impact of excluding: Launch messaging is written without product context.

28Post-Launch Measurement
Optional

Impact of excluding: No agreed review cadence after launch.

29Product Decision Log
Optional

Impact of excluding: The reasoning behind decisions is lost.