Root Cause Analysis and Problem Solving

Overview:

Introduction:

Root cause analysis and problem solving refer to structured methodologies used to identify underlying causes of system failures, process deviations, or performance disruptions. These models support operational stability by classifying failure sources, organizing response logic, and standardizing corrective frameworks. This training program introduces analytical structures, classification logic, and documentation models used to support structured investigation and resolution within institutional environments.

Program Objectives:

By the end of this program, participants will be able to:

• Identify foundational concepts of root cause classification frameworks.

• Outline structured models used to trace problem origins across systems.

• Classify analytical tools used in failure evaluation and organizational logic.

• Explore documentation structures supporting decision consistency.

• Evaluate institutional governance supporting resolution and escalation processes.

Targeted Audience:

• Quality and Process Engineers.

• Maintenance and Reliability Analysts.

• Compliance and Risk Assessment Officers.

• Operations and Performance Management Staff.

• Technical Supervisors and Review Coordinators.

Program Outline:

Unit 1:

Foundations of Root Cause Logic:

• Conceptual framework of root cause analysis in organizational systems.

• Classification principles of failure types: human, technical, process-based.

• Role of RCA in incident tracking and operational continuity.

• Difference between symptoms, immediate causes, and root causes.

• Integration process of RCA into institutional performance frameworks.

Unit 2:

Structured Models for Cause Identification:

• Logical frameworks, including 5 Whys, Fishbone Diagram, and Fault Tree Analysis.

• Cause effect structuring and categorical tracing methods.

• Key activities for mapping sequences of events and decision points.

• Risk based ranking techniques of causal factors.

• Linkage between failure mechanisms and root classification.

Unit 3:

Analytical Tools and Data Organization:

• Tools for evaluating system variability and deviation logic.

• Models for comparing expected vs. actual performance conditions.

• Categorization measures of contributing and influencing factors.

• Importance of using visual mapping for process gap identification.

• Oversight on the standardization of analysis formats for internal use.

Unit 4:

Documentation and Reporting Structures:

• How to structure findings for traceability and review.

• Overview on some templates and formats for RCA report standardization.

• Documentation principles of corrective action frameworks.

• Criteria for completeness, clarity, and follow-up tracking.

• Review cycles and organizational reporting pathways.

Unit 5:

Governance, Resolution, and Escalation Frameworks:

• Oversight on structures for reviewing RCA findings institutionally.

• Criteria for escalation based on impact and recurrence risk.

• Linkage of RCA outcomes with strategic review processes.

• Policy roles in sustaining procedural integrity.

• The role of evaluating long term resolution alignment with risk systems.