Chat AI: How to Communicate Effectively

Understanding the AI Assistant

The AI analyzes your entire project structure to provide contextual suggestions. It can:

• Suggest new features based on your objectives
• Identify missing personas or problems
• Recommend dependencies and links
• Help structure your MVP

Checklist:

• [ ] Open the AI chat for your project
• [ ] Review the current project context

How to Ask Good Questions

✅ Be Specific

Good: "What features are missing to support the Project Manager persona?" Bad: "Help me"

✅ Give Context

Good: "I'm building a SaaS for small teams. What authentication features should I consider?" Bad: "What should I add?"

✅ Ask for Explanations

Good: "Why would 'User Dashboard' depend on 'User Authentication'?" Bad: Just accepting without understanding

Checklist:

• [ ] Ask a specific question about your project
• [ ] Review the AI's response and rationale
• [ ] Ask follow-up questions if unclear

Types of Useful Prompts

Explore Your Project

• "What's missing in my current MVP?"
• "Are there any conflicts or blockers I should know about?"
• "Which features have the most dependencies?"

Get Suggestions

• "Suggest 3-5 features for [specific persona]"
• "What problems might [persona] face with this product?"
• "What risks should I consider for this approach?"

Validate Your Thinking

• "Does my MVP scope make sense?"
• "Are these priorities realistic for a 3-month timeline?"
• "What would you change about my current structure?"

Checklist:

• [ ] Try asking an exploratory question
• [ ] Ask for specific suggestions
• [ ] Request validation of your current plan

Working with AI Proposals

When the AI suggests changes:

1. Read the Rationale

The AI explains why it's suggesting each action. This is valuable learning!

2. Review Each Action

• What bubbles will be created/modified?
• What links will be added?
• Do the priorities make sense?

3. Accept or Reject

You're in control. The AI provides suggestions, but you decide what fits your vision.

4. Iterate

After applying changes, ask follow-up questions to refine further.

Checklist:

• [ ] Review at least one proposal carefully
• [ ] Read the rationale before accepting
• [ ] Try accepting, then asking a follow-up question

Tips for Better Results

🎯 Start with Clear Objectives

The AI works best when your project has well-defined objectives and personas.

💬 Have a Conversation

Don't just ask once. Have a back-and-forth dialogue to refine ideas.

🔄 Use Iterative Refinement

• Start broad: "Help me structure this project"
• Then specific: "Add details to the authentication feature"
• Then validate: "Does this cover all security concerns?"

📸 Create Snapshots Before Major Changes

Always create a snapshot before applying large AI suggestions. Easy undo!

Tip: The AI learns from your project structure. The more complete your project, the better its suggestions!