Multicriteria Decision Analysis: Systematic Ranking with Decision Matrix

PMBOK v8 Definition

Multicriteria decision analysis is a technique that utilizes a decision matrix to provide a systematic analytical approach for establishing criteria, such as risk levels, uncertainty, and valuation, to evaluate and rank many ideas. This technique uses tools such as prioritization matrix or analytic hierarchy process (AHP) software to identify key issues and suitable alternatives to be prioritized as a set of decisions for implementation. Criteria are prioritized and weighted before being applied to all available alternatives to obtain a mathematical score for each alternative.

Why It Matters for the Exam

This concept appears frequently in PMI exam questions related to risk management and decision-making processes. You will encounter it in questions that ask you to select the appropriate technique for evaluating multiple options against defined criteria, particularly when ranking risks or prioritizing project decisions. The exam tests your ability to distinguish multicriteria decision analysis from other decision-making techniques like decision tree analysis or autocratic decision-making.

Key Points to Remember (for the exam)

• Definition: A technique using a decision matrix to provide a systematic, analytical approach for establishing criteria (risk levels, uncertainty, valuation) to evaluate and rank many ideas
• Key Tools: Prioritization matrix and analytic hierarchy process (AHP) software
• Core Process: Criteria are prioritized and weighted → applied to all alternatives → mathematical score calculated for each alternative
• Primary Use: Evaluating and ranking many ideas, particularly in risk management contexts
• Common Confusion: Do not confuse with decision tree analysis—multicriteria decision analysis uses a matrix and weighted criteria, while decision tree analysis uses a diagram showing branches for different decisions or events with associated costs and risks
• Exam Distinction: Multicriteria decision analysis is for ranking many ideas systematically; it is not for majority voting (plurality) or autocratic decision-making
• Group Size Note: Having an uneven number of participants can ensure a decision will be reached rather than resulting in a tie

Typical PMI Exam Example

A project manager needs to evaluate 15 potential risk responses and select the most appropriate ones for implementation. The team establishes criteria including cost, effectiveness, and implementation complexity. Each criterion is weighted, and all 15 alternatives are scored against these weighted criteria using a decision matrix. This approach is an example of multicriteria decision analysis.

PMI Exam Traps

• Trap: Confusing multicriteria decision analysis with decision tree analysis

  • Reality: Multicriteria decision analysis uses a decision matrix with weighted criteria; decision tree analysis uses a diagram with branches representing different decisions or events, each with associated costs and risks

• Trap: Thinking multicriteria decision analysis is the same as a probability and impact matrix

  • Reality: Probability and impact matrix maps probability of occurrence and impact for individual risks; multicriteria decision analysis evaluates and ranks many ideas using multiple weighted criteria

• Trap: Assuming multicriteria decision analysis requires majority agreement

  • Reality: This technique produces mathematical scores based on weighted criteria, not voting or group consensus

• Trap: Confusing it with prioritization techniques like MoSCoW or 100-point method

  • Reality: MoSCoW and 100-point method are stakeholder prioritization techniques; multicriteria decision analysis is a broader analytical technique using a decision matrix

Important PMI Connections

Quick Review Questions

1. What type of matrix does multicriteria decision analysis use to provide a systematic analytical approach?

2. Name two specific tools that can be used for multicriteria decision analysis.

3. What must be done to criteria before they are applied to all available alternatives in multicriteria decision analysis?

4. How does multicriteria decision analysis differ from decision tree analysis in terms of its output format?

5. When a group has an uneven number of participants, what advantage does this provide for decision-making?

PMBOK v8 Reference

Section 5 - Tools and Techniques (Multicriteria Decision Analysis, pages referenced in PMBOK v8 context)