Product Requirements Document (PRD)
This section provides a quick overview, allowing stakeholders to grasp the What and Why immediately.
1.1. Feature/Product Name
[Feature Name/Product Title - e.g., Leximate: AI-Powered Summarization Tool]
1.2. Problem Definition (The "Why")
Problem: What specific pain point or market gap does this address? (Focus on the user's need).
Example: Users spend too much time manually summarizing long legal documents, leading to decreased efficiency and higher error rates.
Target Audience: Who are the primary users? (e.g., Small Law Firms, Corporate Legal Teams, Students).
1.3. Business & Product Goals (The "What for")
What are the high-level, measurable objectives for the business? (Align with OKRs).
Example: Increase monthly active users (MAU) by 15%; Achieve a $10k increase in monthly recurring revenue (MRR) within 3 months post-launch.
1.4. Success Metrics (KPIs)
How will success be quantitatively measured?
| Metric | Target | Measurement Period |
|---|---|---|
| Primary Metric (North Star) | [Value and Unit - e.g., 20% Increase] | [Timeframe - e.g., First 60 days] |
| Secondary Metric 1 | [Value and Unit] | [Timeframe] |
| Secondary Metric 2 | [Value and Unit] | [Timeframe] |
Clearly define the boundaries of this release or project to manage expectations and prevent scope creep.
2.1. In-Scope
List the core functionalities and requirements that must be delivered.
- Example: AI-Summarization for PDF and DOCX files.
- Example: Basic user access control (authentication).
2.2. Out-of-Scope (Future Considerations)
List items explicitly excluded from this release. This shows they were considered but deliberately parked.
- Example: Summarization for image-based documents (OCR).
- Example: Team collaboration features or shared document folders.
This section defines the user experience and the specific functionalities needed from the user's perspective.
3.1. Persona(s)
Persona Name: [e.g., Sarah the Paralegal]
Goal: Quickly extract key findings from large case files.
Pain Point: Doesn't have time to read every document end-to-end.
3.2. User Stories
Use the "As a [User Persona], I want to [Goal], so that [Benefit]" format.
| ID | User Story | Priority (MoSCoW) |
|---|---|---|
| US-001 | As a Paralegal, I want to upload a legal PDF, so that I can generate an immediate summary of key clauses. | Must Have |
| US-002 | As a Pro-User, I want to select the desired summary length (short/medium/long), so that I can control the detail level of the output. | Should Have |
| US-003 | As a User, I want to copy the generated summary to my clipboard, so that I can paste it directly into my case notes. | Must Have |
3.3. User Flow / Workflow (Optional)
Describe the step-by-step path a user takes to achieve their goal.
Reference Link: [Link to Miro board, Lucidchart, or simple text flow]
- User lands on Dashboard.
- User clicks "New Summary."
- User selects file (PDF or DOCX).
- System processes file.
- User views summary and options.
Detailed, specific requirements for what the system must do. Each item should be testable.
| ID | Requirement Detail | Acceptance Criteria |
|---|---|---|
| FR-001 | File Upload: The system must accept uploads of files up to 20MB. | The upload interface must display a clear error message if the file is over 20MB. |
| FR-002 | Summary Generation: The system must use the latest OpenAI API (GPT-4) for summarization. | The response time for a 1MB document must be under 15 seconds. |
| FR-003 | Output Format: The final summary text must be formatted as Markdown (including bolding for key terms). | The output must render correctly in the application with appropriate line breaks and formatting. |
Requirements related to the quality, performance, and structure of the system, not the specific function.
Performance
The service must handle a load of 100 concurrent summarization requests without degradation.
Security
All uploaded files must be encrypted at rest (AES-256).
Usability/UX
The interface must be WCAG 2.1 AA compliant for accessibility.
Maintainability
The code base must adhere to clean architecture principles and include unit tests for all core logic.
Scalability
The backend architecture must be serverless to handle peak loads efficiently.