Contextual Conversations
Chat in Product Graph isn’t just a generic AI assistant—it’s deeply integrated with your product documentation. The AI understands:- Your existing artifacts and requirements
- Project context and goals
- Team terminology and conventions
- Historical decisions and their rationale
Key Capabilities
Requirements Refinement
Discuss and refine requirements through natural conversation. The AI helps
identify gaps and ambiguities.
Idea Exploration
Brainstorm features, explore alternatives, and think through implications
before committing to documentation.
Documentation Generation
Generate drafts of specifications, user stories, and acceptance criteria
from your conversation.
Quick Answers
Ask questions about your existing documentation and get instant, contextual
answers.
Using Chat
1
Start a conversation
Open the chat panel from any document or project. Your current context is automatically included.
2
Ask questions or share ideas
Type your question or idea naturally. The AI understands product management
terminology and can help with: - Clarifying requirements - Suggesting
improvements - Identifying edge cases - Generating documentation
3
Apply suggestions
When the AI suggests changes or generates content, you can apply it directly to your documents with one click.
Example Prompts
Requirements refinement
- “What edge cases should we consider for the user authentication flow?”
- “Can you help me write acceptance criteria for this user story?”
- “What’s missing from this requirements document?”
Documentation generation
- “Generate a technical specification from these requirements”
- “Create a user story for the shopping cart feature”
- “Write API documentation for the endpoints we discussed”
Context questions
- “What decisions have we made about the payment system?”
- “Show me all requirements related to user onboarding”
- “What was the reasoning behind using GraphQL?”
Chat conversations are saved and can be referenced later, making it easy to
track how requirements evolved through discussion.