How to Get a Job For Project Managers

Learn how to write resume and interview

Leadership for Project Managers

Learn how to lead and drive project success.

Project Management Bootcamp

From a beginner to project management professional.

Agile Project Management and SCRUM with AI

Learn to run Scrum and Agile with AI.

Root Cause Analysis

A problem-solving method that identifies the fundamental reason behind a variance, defect, or risk. A single root cause can lead to multiple variances, defects, or risks.

Key Points

  • Traces symptoms back to their source using techniques like 5 Whys, fishbone (Ishikawa) diagrams, and fault tree analysis.
  • Aims to prevent recurrence by fixing causes rather than treating symptoms.
  • One cause may drive several issues across scope, schedule, cost, quality, or risk.
  • Outputs inform corrective and preventive actions, change requests, risk responses, and lessons learned updates.

Example

On a construction project, multiple walls fail inspection due to incorrect dimensions, causing rework and schedule slippage. The team performs root cause analysis and finds that outdated drawings were distributed to several crews. They correct the document control process, retrain staff, and issue a change request to prevent further defects.

PMP Example Question

A project is experiencing recurring test failures and rising cost variance. What should the project manager use to discover the fundamental reason and prevent recurrence?

  1. Trend analysis
  2. Root cause analysis
  3. Reserve analysis
  4. Fast tracking

Correct Answer: B — Root cause analysis

Explanation: Root cause analysis is used to identify the underlying reason for defects or variances so the team can implement targeted preventive and corrective actions.

AI for Project Managers — Build Plans Faster, Lead Better

Turn messy inputs into structured project plans in minutes. If you are a project manager tired of spending hours on documentation, this course shows you how to use AI to work faster while staying fully in control.

This is not a generic AI course. You will learn how to use AI as a practical co-pilot to build real project artifacts—charters, WBS, schedules, risk registers, and executive reports—using structured, reliable prompt frameworks.

You will also learn how to keep your project aligned across scope, schedule, cost, and risk, and how to interpret performance data like Earned Value Management to support better decisions and communication.

Everything is designed for immediate use. You get ready-to-use prompt templates and workflows you can apply right away in your projects. Watch the video to see how it works and start building your first AI-supported project plan.



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