Module 1:

• RCA PROBLEMS IN THE REAL WORLD

• Why most issue-solving models don't get to the base of the problem, and what you can do about it
• The importance of separating and integrating analytical and creative thinking
• There is a distinction between content and process thinking.

• STEP 1: DEFINITION OF THE PROBLEM

• How can you make sure you're working on the proper problem?
• Prioritization tools and filters
• Formulating a clear and comprehensive problem statement (includes practice)

• STEP 2: UNDERSTANDING THE PROCESS

• Every problem is a result of a process failure
• How a SIPOC diagram can identify interrelationships and create boundaries
• Drilling down into the right area of the process with flowcharts (includes practice)

• STEP 3: DETERMINING THE POSSIBLE CAUSES

• Five methods for determining possible causes
• There are three ways to choose or eliminate causes.
• On steroids, logic trees as a cause and effect diagram (includes practice)

Module 2

• STEP 4: DATA COLLECTION

• Population vs. sampling; sampling options
• Check discrete data collecting sheets, graphs, and tables
• Opinions or less exact facts collected through surveys, interviews, and field observation

• STEP 5: DATA ANALYSIS

• Tools for analyzing discrete data (run charts, histograms, pareto diagram, modified scatter diagram, pivot tables)
• Tools for data of a softer kind (affinity diagram, relationship digraph)
• Tools for integrating data analysis

• CASE STUDY CONSULTATION PRACTICE

• Participants act out a problem and consult with the instructor about it.
• Key learning topics are reviewed.

• HUMAN ERROR AND INCIDENTS/EVENTS

• What is the difference between incident and accident analysis?
• Human error: causes and solutions

• CASE STUDY APPLICATION

• Work on a project that is relevant to the participants' organization.

• SKILLS IN FACILITATION

• Process facilitation vs. expert content
• Roles of facilitators and intervention options

Module 3:

• CASE STUDY PRACTICE – Work on a problem that requires integration.

• THE CONTINUATION OF THE PROBLEM PROCESS FOR RESOLVING PROBLEMS

• Finding and evaluating solutions
• The significance of challenges related to organizational transformation management
• Models for analyzing resistance and preparing for change
• Follow-up, standardization, and implementation

• RCA PROJECT MANAGEMENT AND ORGANIZATIONAL ISSUES

• RCA-affecting cognitive biases
• Organizational culture's impact
• Supporting structures/roles for RCA

• MS EXCEL AND STATISTICAL HYPOTHESIS TESTING

• What can the t, F, and ANOVA tests do?
• How to do them in MS Excel?
• Using the chi-square test for count data?

• DRILLING DOWN INTO THE DATA

• Perceiving change as a three-dimensional space
• How should the key components of that variation be sliced?
• Which data comparison tools should you use?