🎯 Learning Objectives
By the end of this lesson, you will be able to:
✅
Break down complex challenges
causes and effects.
✅
Use AI strategically
without losing rigor.
✅
Build a preliminary Problem Tree
evidence from assumptions.
✅
Prepare questions
for stakeholder validation.
✅
Create a solid foundation
for your project.
💡 Skills You Will Gain
Analytical Skills
- → Root cause identification
- → Evidence-assumption separation
Research Skills
- → AI-assisted desk research
- → Source rigor checks
Communication Skills
- → Targeted validation questions
- → Clear stakeholder framing
📚 Prerequisites
Prerequisites
📦 What This Lesson Includes
🤖
MCP Builder Template
Prompt framework for AI-assisted research.
🌳
Problem Tree Worksheet
Structured worksheet for causes and effects.
✅
Quality Assurance Checklist
Checks your AI research for rigor.
❓
Stakeholder Question Bank
Ready-made validation questions by topic.
🚀 Ready to Start?
Next
Next, you'll take this tree to stakeholders and find out which assumptions hold up.