Decision Tree Diagrams
- A decision tree is a visual, quantitative method of tracing the outcomes of a decision so that the most profitable decision can be identified
- Research-based estimates and probabilities are used to calculate likely outcomes
- The net gain from a decision can be identified and used to consider whether an investment is worthwhile
- Using decision trees provides several key advantages to the decision making process
- Constructing a decision tree diagram may reveal options that haven't previously been considered
- Managers are forced to consider the risks associated with their choice, ahead of implementation
- The quantitative approach requires deep research to be carried out
- The key elements in a decision tree diagram are
- Decision points
- Outcomes
- Probabilities
- Expected monetary values
Diagram of a Decision Tree
A simple decision tree based on the choice of whether to invest in opening a new store or expand its website
Decision points
- Points where decisions need to be made are called Decision Points and are represented by squares
- Square A represents the fact that a choice is required on opening a new store or expanding the website
- Square A represents the fact that a choice is required on opening a new store or expanding the website
Nodes
- Points where there are different outcomes are represented by circles are called Nodes
- Circles B and C represent points at which the different options have a range of outcomes - success or failure
- Circles B and C represent points at which the different options have a range of outcomes - success or failure
Probabilities
- The probability or likelihood of each outcome is shown on the diagram
- A certain outcome has a probability of 1
- An impossible outcome has a probability of 0
- Opening a new store has a 0.7 probability of success and a 0.3 probability of failure
- Expanding the website has a 0.6 probability of success and a 0.4 probability of failure
Expected monetary values
- The monetary value of each decision is based on the expected profit or loss of the outcome
- If opening a new store is successful a £420,000 profit is expected
- If opening a new store is unsuccessful a £24,000 loss is expected
- If expanding the website is successful a £480,000 profit is expected
- If expanding the website is unsuccessful a £32,000 loss is expected
Worked example
- In some cases the decision tree diagram provides expected revenues rather than profit or loss for the range of outcomes
- In these diagrams the costs related to each outcome are also provided
- To calculate the expected value of each outcome costs must be deducted from expected revenues
A decision tree based on a decision whether to launch a new product or improve an existing product
- To calculate the expected monetary value of a decision where revenues and costs are included in the diagram
(Expected value of success x Probability) + ( Expected value of failure x Probability) - Cost
- The expected value of launching a new product is
(£520,000 x 0.6) + (-£54,000 x 0.4) - £280,000
= £312,000 + -£21,600 - £280,000
= £290,400 - £280,000
= £ 10,400
- The expected value of improving the existing product is
(£225,000 x 0.9) + (-£22,000 x 0.1) - £190,000
= £202,500 + -£2,200 - £190,000
= £200,300 - £190,000
= £ 10,300
- As the expected value of launching a new product is marginally higher at £10,400 than that of improving the existing product at £10,300, the business should choose the option to launch a new product
- In this case the decision tree has demonstrated that there is little between the two options and the business should look at other factors that may inform their decision