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🌳 Decision Trees Cheat Sheet

📌 What is a Decision Tree?

A Decision Tree is a visual decision-making tool that maps out choices, possible outcomes, and consequences in a structured way. It helps evaluate risks, compare options, and make informed decisions.

🎯 Purpose

  • Break down complex decisions into manageable steps 🔍
  • Compare multiple options & their outcomes 🎯
  • Assess risks, probabilities, and expected values ⚖️
  • Improve strategic planning & forecasting 🔮

🛠 How to Build a Decision Tree

🔥 Step 1: Define the Decision

  • Identify the main problem or choice to be made.
  • Clearly outline the possible options.

🔥 Step 2: Add Branches for Each Option

  • Each branch represents a possible choice.
  • Include factors like costs, benefits, and uncertainties.

🔥 Step 3: Identify Possible Outcomes

  • Expand branches to show potential consequences of each choice.
  • Consider both positive and negative outcomes.

🔥 Step 4: Assign Probabilities & Values

  • Estimate probabilities for uncertain outcomes.

  • Calculate expected value (EV) using:

    EV = Probability × Outcome Value

🔥 Step 5: Analyze & Choose the Best Path

  • Compare expected values and risk levels.
  • Select the option with the most favorable outcome.

⚠️ Common Pitfalls & How to Avoid Them

  • Overcomplicating the tree → Keep it clear & focused.
  • Ignoring probabilities → Use data to estimate likelihoods.
  • Neglecting alternative factors → Consider costs, time, and feasibility.
  • Failing to update analysis → Reassess as new information emerges.

🔧 Tools for Creating Decision Trees

  • 🖥️ Digital: Lucidchart, Miro, Microsoft Visio, Google Sheets
  • 📌 Physical: Whiteboards, Sticky Notes, Hand-drawn Flowcharts

🚀 Example: Expanding a Business

Scenario: A company is deciding whether to expand to a new market or improve existing operations.