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Guide for the Product Specification Document (PSD)

The Product Specification Document (PSD) is a foundational document that defines the project scope, goals, features, and the role of AI tools in achieving them. It provides a high-level overview to guide the development process while ensuring alignment between team members and the AI-driven workflow.

Purpose of the PSD

  • Define the Vision: Establish what the project aims to achieve.
  • Align Goals: Ensure that stakeholders, developers, and AI tools are working toward the same objectives.
  • Provide Context: Offer detailed information for AI tools like OpenAI, Claude, and GitHub Copilot to generate meaningful outputs.
  • Track Scope: Set boundaries to prevent scope creep by clearly defining the minimum viable product (MVP).

Sections of the PSD

  1. Project Overview

    • What it includes:
      • Project name.
      • High-level description.
      • Target audience or user base.
    • How it aligns:
      • Sets the context for the Technical Blueprint by defining the problem the architecture will solve.
      • Serves as the starting point for brainstorming tasks in the Task and Implementation Plan.

  2. Goals

    • What it includes:
      • Primary objectives (e.g., create a modular dashboard).
      • Key success criteria.
    • How it aligns:
      • Influences the priorities in the Task and Implementation Plan.
      • Helps validate deployment outcomes in the Release and Deployment Guide.

  3. Features

    • What it includes:
      • Detailed descriptions of each feature.
      • Prioritization (High/Medium/Low).
      • Dependencies between features.
    • How it aligns:
      • Forms the basis for Task Breakdown in the Task and Implementation Plan.
      • Helps structure testing in the Code Review and Change Log.

  4. AI Assistance Plan

    • What it includes:
      • AI tools to be used (e.g., GitHub Copilot for frontend scaffolding).
      • Prompts or strategies for interaction.
    • How it aligns:
      • Guides the use of AI tools in the Technical Blueprint and during coding in the Task and Implementation Plan.

  5. Risks and Mitigation

    • What it includes:
      • Identified risks (e.g., AI generating incorrect code).
      • Mitigation strategies (e.g., thorough reviews and testing).
    • How it aligns:
      • Helps anticipate challenges in the Testing phase outlined in the Code Review and Change Log.
      • Guides deployment strategies in the Release and Deployment Guide.

How the PSD Aligns with Other Documents

Section Purpose in PSD Connection to Other Documents
Project Overview Sets the project’s vision and goals. Informs the Technical Blueprint by establishing the problem and high-level solution.
Goals Defines success metrics. Ensures tasks in the Task and Implementation Plan align with goals and supports final validation.
Features Details functionalities and dependencies. Forms the basis for task breakdowns and prioritization in the Task and Implementation Plan.
AI Assistance Plan Specifies how AI tools will contribute. Provides clear usage strategies for AI in the Technical Blueprint and Task and Implementation Plan.
Risks and Mitigation Identifies potential challenges. Prepares for issues during Testing (Code Review) and supports Release and Deployment strategies.

How to Populate the PSD

Step-by-Step Guide

  1. Brainstorm the Vision:

    • Involve stakeholders or use Claude to refine the idea.
    • Example Prompt: "Help me write a brief description for a React-based dashboard application targeting project managers."

  2. Define the Goals:

    • Be specific and measurable.
    • Example: "The app should support drag-and-drop widgets with live data updates."

  3. List Features:

    • Use AI to break down the app into core functionalities.
    • Example Prompt: "List key features for a modular dashboard, prioritized for an MVP."

  4. Draft the AI Assistance Plan:

    • Map tasks to tools like GitHub Copilot or OpenAI.
    • Example Prompt: "Suggest how to use GitHub Copilot to create a responsive navbar in React with Tailwind CSS."

  5. Identify Risks and Mitigation:

    • Discuss potential pitfalls with the team or AI.
    • Example: "What risks might arise when deploying a Chrome extension built with AI-generated code?"

Example PSD

# Product Specification Document (PSD)

## Project Overview
- **Project Name:** Modular Dashboard
- **Description:** A responsive, customizable dashboard app for project managers using React, TypeScript, Tailwind CSS, and ShadCN UI.

## Goals
- **Primary Objective:** Build an MVP with drag-and-drop widgets and real-time data.
- **Success Criteria:** 
  1. 90% of end-users can customize their dashboard without errors.
  2. Load times under 1 second for widgets.

## Features
1. **Core Features**:
   - Widget resizing and drag-and-drop functionality (High Priority).
   - Authentication and role-based access (Medium Priority).
2. **Future Features**:
   - Real-time collaboration (Low Priority).

## AI Assistance Plan
- **Frontend Tasks:** Use GitHub Copilot to scaffold React components and integrate Tailwind CSS.
- **Backend Tasks:** Use OpenAI for generating Bun API endpoints.
- **Testing:** Ask Claude to review test case coverage.

## Risks and Mitigation
- **Risk 1:** AI-generated code may have security vulnerabilities.
  - **Mitigation:** Conduct manual code reviews and security testing.
- **Risk 2:** Feature scope creep.
  - **Mitigation:** Freeze the MVP scope during initial development.

How the PSD Makes Implementation Easier

  1. Clarity for AI Tools: The PSD provides AI tools with detailed requirements and context to generate relevant outputs.
  2. Alignment Across Phases: It serves as a single source of truth, ensuring all documents and processes remain cohesive.
  3. Improved Collaboration: Offers clear goals and expectations for the team to reference throughout the project lifecycle.

Let me know if you'd like to expand or adapt this further for a specific project!