Multicriteria Decision Analysis

A method that uses a decision matrix to define and weigh criteria (such as risk, uncertainty, and value) so multiple options can be scored, compared, and ranked in a consistent, transparent way.

Key Points

  • Uses a decision matrix to score alternatives against agreed criteria.
  • Criteria can include risk exposure, uncertainty, cost, benefit, feasibility, and strategic fit.
  • Supports objective, repeatable prioritization by applying weights to each criterion.
  • Useful for evaluating many ideas, vendors, requirements, or solution options.

Example

A project team must choose among five software vendors. They build a matrix with criteria such as total cost of ownership (30%), security compliance (25%), implementation risk (20%), scalability (15%), and user experience (10%). Each vendor is scored 1–5 per criterion, multiplied by the weights, and summed. The highest total score identifies the preferred vendor, with a clear rationale for stakeholders.

PMP Example Question

A project manager needs a structured way to compare several design options using weighted criteria like risk, cost, and business value. Which tool should be used?

  1. Decision tree analysis
  2. Multicriteria decision analysis
  3. Affinity diagram
  4. Delphi technique

Correct Answer: B — Multicriteria decision analysis

Explanation: It applies a decision matrix with weighted criteria to score and rank multiple alternatives objectively.

Advanced Lean Six Sigma — Data-Driven Excellence

Solve complex problems, reduce variation, and improve performance with confidence. This course is designed for professionals who already know the basics and want to apply advanced Lean Six Sigma tools to real business challenges.

This is not abstract statistics or theory-heavy training. You’ll use Excel to perform real analysis, interpret results correctly, and apply tools like DMAIC, SIPOC, MSA, hypothesis testing, and regression without memorizing formulas or relying on expensive software.

You’ll learn how to measure baseline performance, analyze process capability, use control charts to maintain stability, and validate improvements using statistical evidence. Templates, worked examples, and structured walkthroughs help you apply each concept immediately.

Learn through a complete, real-world Lean Six Sigma project and develop the skills to lead data-driven improvements with credibility. If you’re ready to move beyond basics and make decisions backed by data, enroll now and take your Lean Six Sigma expertise to the next level.

Explore the Course


Build the Sprint Reporting System, Not Another Prompt

AI Systems with Claude is our own course for Scrum Masters and Agile Project Managers, taught against one running project across seven sections. You build five working systems and keep them: the sprint report machine, the retro intelligence system, the stakeholder comms engine, the backlog health monitor, and the risk and dependency tracker. Direct from HK School of Management, not on Udemy.

See What Is Included