Structured Troubleshooting

Evidence-based methodologies for systematic fault diagnosis in complex technical systems

Transform Your Troubleshooting Approach

Troubleshooting complex equipment doesn't have to be a guessing game. Research-validated methodologies like Structured Troubleshooting and Kepner-Tregoe provide systematic frameworks that enable technicians to diagnose faults faster, more accurately, and with greater confidence. These approaches are grounded in cognitive psychology and proven in real-world industrial and military applications. This groundbreaking work, along with industry best practices, inform the troubleshooting coaching agents that are available to help your employees troubleshoot more effectively - no matter what domain they are working in.

Below you'll find comprehensive guides to the methodologies that underpin our work, plus academic research links to explore the underlying science.

Available Resources

ST

Structured Troubleshooting Guide

Practical Guide • MSWord Document

A comprehensive guide based on the research of Schaafstal, Schraagen & van Berlo. Learn how to change your technicians’ diagnostic strategy from component level to top-down system function. Includes worked examples, common pitfalls, and implementation strategies validated in military and industrial settings.

Download Guide
KT

Kepner-Tregoe Problem Solving

Practical Guide • MSWord Document

Master the four core KT processes: Situation Appraisal, Problem Analysis, Decision Analysis, and Potential Problem Analysis. This guide distills the classic methodology from "The Rational Manager" into practical, actionable steps with IS/IS NOT specification frameworks and worked examples.

Download Guide
TL

Troubleshooting Using LLMs

Practical Guide • MSWord Document

Discover how Large Language Models can transform your troubleshooting practice — while avoiding costly pitfalls. This guide explores how leading organizations are deploying LLMs to accelerate diagnostics and improve outcomes across manufacturing and industrial equipment, IT infrastructure and software systems, and healthcare and medical devices.

Download Guide
📚

Academic Research

External Resource • Google Scholar

Explore the academic literature on structured troubleshooting methodologies. Access peer-reviewed research from Schaafstal, Schraagen, Kepner, Tregoe, and other researchers in cognitive task analysis, diagnostic reasoning, and systematic problem-solving approaches.

Search Google Scholar

Key Concepts

Structured Troubleshooting (ST)

Developed by researchers at the TNO Human Factors Research Institute in the Netherlands, Structured Troubleshooting combines a domain-independent diagnostic strategy with system-specific functional decompositions. The method demonstrated that technicians trained in ST solved twice as many malfunctions in less time than traditionally trained peers.

Core Components:

  • Five-step diagnostic process (Analyze → Orient → Localize → Identify → Repair/Verify)
  • Multi-level functional decomposition of systems
  • Half-split testing strategy for efficient fault isolation
  • Systematic complaint analysis before hands-on troubleshooting

Kepner-Tregoe Method (KT)

Created by Charles Kepner and Benjamin Tregoe based on RAND Corporation research with U.S. Air Force officers, the KT method provides four distinct processes for rational problem management. First published in "The Rational Manager" (1965), it has been adopted globally by organizations from NASA to manufacturing firms.

The Four Processes:

  • Situation Appraisal: Clarify and prioritize multiple concerns
  • Problem Analysis: Use IS/IS NOT specification to find root cause
  • Decision Analysis: Evaluate alternatives against weighted objectives
  • Potential Problem Analysis: Proactive risk identification and mitigation

Why These Methods Work

Both methodologies are grounded in cognitive psychology research showing that expert problem-solvers use systematic, structured approaches rather than ad hoc trial-and-error. The key insight: diagnostic expertise comes not just from domain knowledge, but from how that knowledge is organized and applied.

By making expert thinking patterns explicit and teachable, these frameworks dramatically accelerate the path from novice to proficient troubleshooter—reducing training time while improving diagnostic accuracy and speed.