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.
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.
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.
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.
Evidence & User Research
Interviews, surveys, tickets, analytics, customer feedback and market research.
Why it matters: Separates a product decision from an opinion.
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.
Current Experience / Existing Solution
Today's workflow, tools, manual workarounds and alternatives.
Why it matters: Today's workaround is the real competition.
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.
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.
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.
Research Insights
Observation, evidence, interpretation and product implication per insight.
Why it matters: Shows the reasoning between raw research and product decisions.
Assumptions
Validated, unvalidated and high-risk assumptions.
Why it matters: Names the beliefs that could invalidate the product.
Open Questions / Decisions Needed
Question, why it matters, owner and status.
Why it matters: Makes unresolved decisions explicit instead of silently assumed.
Proposed Solution
Solution overview, core experience, capabilities and intentional exclusions.
Why it matters: The product decision itself, stated once and clearly.
User Journeys / User Flows
Happy path, alternative paths, error states, edge cases and recovery.
Why it matters: Flows expose the states requirements forget.
Feature Prioritization
Feature, problem solved, priority (P0/P1/P2), rationale and dependencies.
Why it matters: Turns a flat feature list into a sequencing decision.
Functional Requirements
Uniquely identified requirements with priority, source, story, criteria and dependencies.
Why it matters: The contract between product and engineering.
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.
Acceptance Criteria
Given / When / Then criteria that are testable.
Why it matters: Defines done in a way QA can verify.
UX / Design Requirements
Navigation, hierarchy, interaction, accessibility, content and required states.
Why it matters: Design needs states, not screenshots.
Edge Cases
Missing input, no results, conflicts, permissions, failures, AI uncertainty, abandonment.
Why it matters: Edge cases are where trust is won or lost.
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.
Engineering Requirements
APIs, data, auth, permissions, integrations, performance, scalability and security.
Why it matters: Surfaces the technical decisions the PM must not make alone.
Analytics & Instrumentation
Event name, trigger, properties and purpose, connected to goals and metrics.
Why it matters: Metrics without instrumentation are aspirations.
Risks & Mitigations
Risk, probability, impact, mitigation, owner and status.
Why it matters: Names what could go wrong while it is still cheap to prevent.
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.
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.
Impact of excluding: Wireframes may introduce functionality absent from the PRD.
Impact of excluding: Launch sequencing is undefined.
Impact of excluding: Launch messaging is written without product context.
Impact of excluding: No agreed review cadence after launch.
Impact of excluding: The reasoning behind decisions is lost.