IB Business Management – Decision Trees

Focus: structure, probabilities, expected monetary value and decision-making under risk

Welcome to the Decision Trees simulator

This interactive workbook helps students build, calculate, interpret and decide using decision trees in IB Business Management.

BM finance toolkit

What students should be able to do

  • Recognise the difference between a decision point, an outcome node, a probability and a monetary value.
  • Calculate the expected monetary value (EMV) for each option.
  • Use the results to make a financial recommendation.
  • Explain why decision trees are useful and what their limitations are.
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Key idea: A decision tree does not remove uncertainty. It gives managers a clearer, more structured way to compare risky options using probabilities and financial outcomes.

How this simulator works

  1. Start with the worked example and drag the right labels into the right parts of the tree.
  2. Move to the three practice scenarios and fill in the missing probabilities, values and EMVs.
  3. Interpret the results and choose the best option based on the data.
  4. Use the flashcards and quiz to secure the language.

Decision-tree flow

EMV = (probability of success × success value) + (probability of failure × failure value)
Choose the option with the highest EMV if deciding purely on expected financial return.

Students should still remember that the best numerical answer is not always the final business answer. Managers may also consider reputation, strategic fit, speed, confidence in the data, and risk appetite.

How to construct a decision tree

The tree is a visual way to compare multiple options and their possible outcomes.

1 structure
Decision point: the square or starting choice where the business must choose between different options.
Outcome node: the point where different outcomes can happen, often success or failure.
Probability: the estimated chance of each outcome happening.
Monetary value: the financial result linked to each outcome, such as profit or loss.
Expected monetary value (EMV): the weighted average return found by multiplying each outcome by its probability and adding them together.
What the structure is showing
Decision point
Choose one option
Options
Option A
first strategic route
Option B
second strategic route
Outcome node + probabilities
Successp = 0.70
Failurep = 0.30
Successp = 0.60
Failurep = 0.40
Monetary values
+ £420,000
− £24,000
+ £480,000
− £32,000
EMV
£286,800higher EMV
£275,200lower EMV

Quick check

1. What does EMV help a manager estimate?

2. Which part of the tree tells you how likely something is to happen?

Using judgement: why decision trees help — and where they fall short

A strong IB answer should not stop at the calculation.

2 evaluation

Why decision trees were useful

  • They force managers to compare all options systematically rather than relying on intuition.
  • They require managers to research probabilities and likely outcomes, improving the quality of the decision process.
  • They quantify risk, so managers can see both best-case and worst-case scenarios.
  • They provide a clear, logical justification that can be shown to investors or stakeholders.

Limitations of decision trees

  • Probabilities are only estimates, so the real outcome may differ from the prediction.
  • Managers may be biased or over-optimistic when assigning values or probabilities.
  • Not every consequence can be measured in money, such as brand image, staff morale or customer loyalty.
  • EMV is an average expected value, but the business will experience only one real outcome.
Exam-ready interpretation: If one option has the higher EMV, it is usually the stronger choice on financial grounds alone. However, a good business manager may still reject it if the data are unreliable or the risk of a bad outcome is too severe.

Quick check

1. Which is the best evaluation point?

2. Why might a manager reject the highest-EMV option?

Worked example – drag and drop

Sinapple is deciding whether to open a new store or expand its website. Drag the missing probabilities, values and EMVs into the correct places.

3 guided practice

Opening a new store has a 70% chance of success leading to £420,000 profit, but a 30% chance of failure leading to a £24,000 loss. Expanding the website has a 60% chance of success leading to £480,000 profit, but a 40% chance of failure leading to a £32,000 loss.

Complete the decision tree
Decision point
Should Sinapple choose option A or B?
Options
Open new store
physical expansion
Expand website
online expansion
Probabilities
Drop probability
Drop probability
Drop probability
Drop probability
Monetary values
Drop value
Drop value
Drop value
Drop value
EMVs
Drop EMV
Drop EMV
0.7
0.3
0.6
0.4
£420,000
−£24,000
£480,000
−£32,000
£286,800
£275,200
EMV for opening a new store
£286,800
EMV for expanding the website
£275,200
Financial recommendation
Open the new store
Interpretation: the decision tree suggests that opening the new store is the better option based purely on expected financial outcomes, because its EMV is higher than website expansion.

Practice 1 – Sinapple Studios

Students should calculate the missing values, compare the EMVs and recommend the best option.

4 full practice

Sinapple Studios is deciding between two promotional strategies for a new healthy snack brand: launching pop-up kiosks in malls or building a subscription app. The pop-up kiosks have a 0.65 chance of success generating £360,000 and a 0.35 chance of failure causing a £40,000 loss. The subscription app has a 0.50 chance of success generating £500,000 and a 0.50 chance of failure causing a £90,000 loss.

Fill in the tree from the scenario
Decision point
Which launch strategy should be chosen?
Options
Pop-up kiosks
physical retail launch
Subscription app
digital subscription model
Probabilities
Monetary values
EMV
Interpretation
Limitation / evaluation

Practice 2 – UrbanBite

Another full decision-tree scenario with a different risk profile.

5 full practice

UrbanBite is choosing between opening a flagship city-centre restaurant or starting a delivery-only kitchen. The flagship restaurant has a 0.55 chance of success generating £650,000 and a 0.45 chance of failure causing a £180,000 loss. The delivery-only kitchen has a 0.75 chance of success generating £320,000 and a 0.25 chance of failure causing a £40,000 loss.

Complete the decision tree
Decision point
Which market-entry option should UrbanBite choose?
Options
Flagship restaurant
premium dine-in model
Delivery-only kitchen
lower-cost digital model
Probabilities
Monetary values
EMV
Interpretation
Limitation / evaluation

Practice 3 – PeakWear

One more scenario, with close attention to interpretation and judgement.

6 full practice

PeakWear is launching an outdoor clothing range. Management must choose between opening a branded retail store or partnering with an established online marketplace. The retail store has a 0.48 chance of success generating £900,000 and a 0.52 chance of failure causing a £260,000 loss. The online marketplace has a 0.80 chance of success generating £300,000 and a 0.20 chance of failure causing a £35,000 loss.

Build the final decision tree
Decision point
Which launch route should PeakWear choose?
Options
Retail store
high-return / high-risk
Marketplace partner
lower-return / lower-risk
Probabilities
Monetary values
EMV
Interpretation
Limitation / evaluation

Flashcard studio

Click the card to flip it. Use the jump list to move between terms.

7 retrieval
Topic
Term
Tap / click to reveal the definition.
Topic
Definition
Definition goes here.

End-of-topic quiz

Choose an answer and it will be checked instantly.

8 quiz
Question 1 of 10
Score: 0 / 10
Select, get feedback, then move on.