Creating a PRD

In the PRD options window, you can choose from multiple methods to create a PRD, depending on your situation and goals.

Some options are available only on specific configurations. If an option is not available in your system, contact our Support team.

How Would You Like to Start Building Your PRD?

• Create a PRD from Scratch

  Answer a few simple questions, and PRD-AI generates a custom PRD that includes:        

  • A structured list of feature requirements

  • Non-functional requirements

  • Acceptance criteria

  This is ideal when you’re starting fresh and want a guided, AI-assisted approach.

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• Enhance Your Existing PRD

  Upload your current PRD to Crowdbotics and continue refining and improving it. PRD-AI helps you:        

  • Identify gaps or incomplete sections

  • Suggest additional features or enhancements

  • Improve overall clarity and structure

  This method is perfect for scaling or improving an existing product.

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• Create an Empty PRD

  Start with a blank slate and fully customize your PRD to meet your exact requirements. You have complete control to:

  • Add features, requirements, and acceptance criteria manually

  • Use PRD-AI to generate recommendations as needed

  This is great for teams who already know what they want but prefer to build the PRD step by step.

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• Generate a PRD from a Document

  Upload a technical document, schematic, or requirements file, and PRD-AI transforms it into a structured PRD. The platform:        

  • Analyzes your document’s content

  • Extracts features, requirements, and components

  • Builds a comprehensive PRD based on the input

  This is ideal if you already have detailed technical documentation that needs structuring.

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• Create a PRD from a GitHub Repository

  Select a GitHub repository, and PRD-AI analyzes your codebase to generate a PRD.

• This process:        

  • Provides insights into the code structure, functionality, and key components

  • Summarizes existing features and dependencies

  • Builds a PRD with all identified requirements

  Best suited for modernizing existing codebases or understanding complex, legacy projects.

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