5 Real PRD Examples
Study real Product Requirements Documents from successful products. Each example includes downloadable templates and detailed breakdowns of what makes them effective. PRD samples are hard to come by so we've collected 5 examples from tech products.
Jump to PRD Example:
PRD Example: AI-Powered PRD Reviewer
1. Overview
1.1 Purpose
This document outlines the requirements for an AI-based PRD Reviewer, a new tool offered by pmprompt.com. The tool allows users to upload or paste a PRD, then analyzes and grades the content. It also provides actionable feedback to improve clarity, completeness, and alignment with best practices in product management.
1.2 Background & Rationale
- PRDs are central to product development: A well-written PRD aligns teams around goals, requirements, and success metrics.
- AI-driven assistance: Growing opportunity to automate and enhance document review processes.
- Competitive advantage: Address a niche in the market beyond basic grammar checking.
2. Target Audience & User Personas
- Product Managers: Need quick validation and improvement of PRDs
- Entrepreneurs & Founders: Less experienced in formal PRD writing
- PM Students/Enthusiasts: Looking for tutorials and feedback
- Cross-Functional Teams: Need to verify PRD structure and clarity
3. Key Features & Functionality
3.1 Document Upload & Parsing
- Support for .docx, .pdf, and .txt formats
- Direct text paste option
- AI-powered parsing of document structure
3.2 AI-Driven Analysis
- Fine-tuned NLP models for PRD evaluation
- Structural completeness checking
- Clarity and readability analysis
- Customizable grading rubric
4. Technical Requirements
4.1 Architecture
- Web-based interface using modern frontend framework
- Cloud-based backend with AI engine
- Containerized deployment for scalability
4.2 Performance & Security
- Response time under 10 seconds for documents < 10 pages
- 99.9% uptime target
- HTTPS encryption and GDPR compliance
5. Timeline & Roadmap
MVP (Month 1-2)
- Basic upload/paste functionality
- Core AI-based grading
- Feedback summary
Full Release (Month 5-6)
- Versioning & comparison feature
- Advanced analytics
- Enhanced security features
6. Success Metrics
- Number of unique users running PRD analysis weekly/monthly
- User-reported satisfaction via ratings or surveys
- Conversion rate of free users to premium plans
- Reduction in time spent on manual reviews
💡 What Makes This PRD Great
- • Clear problem statement and market opportunity identification
- • Well-defined user personas and target audience
- • Comprehensive feature breakdown with technical specifications
- • Realistic timeline with phased rollout approach
- • Measurable success metrics and KPIs
- • Thorough consideration of risks and constraints
PRD Example: Linear Priority Micro-Adjust
Context
Make fine-grained adjustments to priority levels within basic categories. If you implement a stack-ranking system for your tasks and projects, this is specifically made for you!
Problem
A very common use case we encounter is global stack-ranking: customers want to form a stable, opinionated order of priority across all of their backlog items. Today, we provide a global manual ordering feature, which we recommend for these cases.
Key Issues:
- Instability: Manual sort is often unstable. Users often don't treat this ordering with care because it feels low-stakes.
- Local vs. Global Sorting: In other apps, manual sort is often local. Users are often surprised we have global manual ordering.
- Redundancy with Priority Field: Having both manual sort and a priority field creates confusion when trying to create a global priority stack rank.
User Pain Points:
- Requests for "custom priority levels" due to insufficient granularity in the 4 basic buckets
- Requests for custom fields to add a "ranking" column for numerical stack-ranking
Solution
Allow users to adjust and rearrange the relative priority of their issues within a priority bucket through drag-and-drop. This will be recommended as the primary method for all stack-ranking use-cases.
Options Considered But Rejected:
- Custom priority levels - Would encourage too many distinct categories
- Custom fields - Would solve stack-ranking but diverges from Linear's opinionated defaults philosophy
Usage Scenarios
Scenario 1: Project Priority Organization
User can drag issues and projects to desired order within the same priority level, avoiding the complexity of defining new priority levels while maintaining specific ordering.
Scenario 2: Importance Ranking
Instead of using arbitrary integer values, users can visually arrange items by importance, making it more intuitive for team communication.
Implementation Milestones
-
MS1: Internal
- Implement drag-and-drop within priority levels
- Handle priority changes when dropping between different priority sets
-
MS2: Beta
- Initialize using existing manual sort index
- Bootstrap initial microadjust ordering
-
MS3: GA + Changelog
- Release alongside project priorities
- Present cohesive story about Linear's priority system
💡 What Makes This PRD Great
- • Clear problem statement with specific user pain points
- • Thoughtful consideration of alternative solutions
- • Concrete usage scenarios that demonstrate value
- • Well-structured implementation plan with clear milestones
- • Focus on user experience and intuitive design
Source: Nan Yu at Linear
🚀 Have a Great PRD Example to Share?
We're always looking to expand our collection of high-quality PRD examples. If you have a PRD that could help other product managers, we'd love to feature it!
Send your PRD to [email protected]
📚 Get weekly PRD templates and examples
Join 5,000+ Product Managers receiving:
- ✨ Weekly curated AI prompts that save hours
- 💡 Exclusive PM strategies and frameworks
- 🎯 Early access to new features and prompts
Join your peers from Google, Meta, Amazon and other top companies