Lesson 1.1: Problem Tree Analysis

What You Will Learn

You'll build a Problem Tree, research it with AI, and prepare questions.

🎯 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

📦 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.

Lesson 1.1: Problem Tree Analysis 18%
Step 2 of 11 · What You Will Learn