Lesson 1.1: Problem Tree Analysis

Step-by-Step Implementation Guide

11 steps across 4 phases.

Implementation Timeline

flowchart TB
    subgraph TopRow[" "]
        direction LR
        subgraph Phase1["📋 Phase 1<br/>Research Planning"]
            direction TB
            S1["1. Define Scope"]
            S2["2. Set Objectives"]
            S3["3. Prepare Documentation"]
            S1 --> S2 --> S3
        end

        subgraph Phase3["🌳 Phase 3<br/>Tree Construction"]
            direction TB
            S7["7. Extract Core Problem"]
            S8["8. Map Root Causes"]
            S9["9. Identify Effects"]
            S7 --> S8 --> S9
        end
    end

    subgraph BottomRow[" "]
        direction LR
        subgraph Phase2["🤖 Phase 2<br/>AI-Assisted Research"]
            direction TB
            S4["4. Customize MCP"]
            S5["5. Execute Research"]
            S6["6. Verify Quality"]
            S4 --> S5 --> S6
        end

        subgraph Phase4["💬 Phase 4<br/>Stakeholder Prep"]
            direction TB
            S10["10. Convert to Questions"]
            S11["11. Plan Validation"]
            S10 --> S11
        end
    end

    S3 -.-> S4
    S6 -.-> S7
    S9 -.-> S10

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    style BottomRow fill:transparent,stroke:transparent
    style Phase1 fill:#FEF3C7,stroke:#F59E0B,stroke-width:2px,color:#1F2937
    style Phase2 fill:#FEF3C7,stroke:#F59E0B,stroke-width:2px,color:#1F2937
    style Phase3 fill:#FEF3C7,stroke:#F59E0B,stroke-width:2px,color:#1F2937
    style Phase4 fill:#FEF3C7,stroke:#F59E0B,stroke-width:2px,color:#1F2937
    style S1 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S2 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S3 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S4 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S5 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S6 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S7 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S8 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S9 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S10 fill:#D9F99D,stroke:#72B043,color:#2A2A2A
    style S11 fill:#007F4E,stroke:#00b369,stroke-width:2px,color:#fff,font-weight:bold

Phase 1: Research Planning

Step 1: Define Your Problem Scope
  • Write a clear 1-2 sentence problem statement
  • Specify affected population and geographic area
  • List what you already know
Step 2: Set Research Objectives
  • Causes and effects you need to understand
  • Interventions the research should help you design
  • Stakeholders you'll eventually need to engage
Step 3: Prepare Documentation System
  • Create a folder for sources
  • Start from the Problem Tree template
  • Track evidence (E) versus assumptions (A)

Phase 2: AI-Assisted Research

Step 4: Customize Your MCP Prompt
  • Copy the MCP template
  • Replace placeholders with your context
Step 5: Execute and Review AI Research
  • Run the prompt, save outputs immediately
  • Scan for errors or red flags
Step 6: Quality Verification
  • Check credibility of 3-5 sources
  • Verify key statistics against original sources
  • Flag anything that looks like assumption

Phase 3: Problem Tree Construction

Step 7: Extract and Organize Core Problem
  • Refine the problem statement
  • Specify who, what, and where
  • Remove any causes or solutions
Step 8: Map Root Causes by Levels
  • Level 1: direct causes
  • Level 2: underlying causes
  • Level 3: structural causes
  • Tag each cause (E) evidence-based or (A) assumption
Step 9: Identify Effects by Time Horizon
  • Immediate, medium-term, and long-term effects
  • Individual, family, community, and system levels
  • Tag each effect (E) or (A)
Root Cause Levels
• Skills-labor market mismatch (E)
  - Educational curricula not aligned with market needs (E)
  - Limited access to practical/vocational training (E)
  - Rapid economic transition outpacing skill development (A)

Phase 4: Stakeholder Preparation

Step 10: Convert Assumptions to Questions
  • Turn each (A) item into an open-ended question
  • Avoid leading questions
  • Aim for 8-10 questions
Step 11: Plan Validation Approach
  • Identify who can answer your questions
  • Decide how you'll reach them: focus groups, interviews, meetings
  • Update your tree based on what you learn

Common Questions

Generic results?
Add more geography and population detail.
Deep enough?
Stop once you reach something actionable.
Skip Phase 2?
MCP is optional but saves hours.
Lesson 1.1: Problem Tree Analysis 64%
Step 7 of 11 · Step-by-Step Guide