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Human Error in Root-cause analysis

Human Error in Root-cause analysis

$248.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Human Error in Root-cause analysis course cover?

Human Error in Root-cause analysis is covered here in 8 modules: Understanding Human Error Taxonomies and Classification Systems, Investigative Methodologies for Human-Centered Incidents, Contextualizing Performance Shaping Factors and 5 more. The outline lists 48 specific topics, opening with selecting between Skill-Based, Rule-Based, and Knowledge-Based error models when analyzing operator actions in high-risk environments.

How do you approach Human Error in Root-cause analysis step by step?

The work is sequenced in 8 stages. It starts with Understanding Human Error Taxonomies and Classification Systems, moves through Investigative Methodologies for Human-Centered Incidents and Contextualizing Performance Shaping Factors, and ends at Leading Systemic Change Based on Human Error Insights. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Human Error in Root-cause analysis course?

Module 1 is Understanding Human Error Taxonomies and Classification Systems. It works through selecting between Skill-Based, Rule-Based, and Knowledge-Based error models when analyzing operator actions in high-risk environments., Applying the Human Factors Analysis and Classification System (HFACS) to map errors to organizational layers in aviation and healthcare incidents., deciding whether to use the Swiss Cheese Model to illustrate latent conditions or adopt.

How is the Human Error in Root-cause analysis course delivered?

The Human Error in Root-cause analysis course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Human Error in Root-cause analysis course cost?

The Human Error in Root-cause analysis course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Supplier Error in Root-cause analysis, Computer Error in Root-cause analysis, Employee Error in Root-cause analysis, Data Processing Errors in Root-cause analysis.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the analytical rigor of multi-workshop root-cause programs and the organizational reach of enterprise safety improvement initiatives, equipping practitioners to navigate the interplay of human performance, systemic defenses, and cultural dynamics in high-risk operational environments.

Module 1: Understanding Human Error Taxonomies and Classification Systems

  • Selecting between Skill-Based, Rule-Based, and Knowledge-Based error models when analyzing operator actions in high-risk environments.
  • Applying the Human Factors Analysis and Classification System (HFACS) to map errors to organizational layers in aviation and healthcare incidents.
  • Deciding whether to use the Swiss Cheese Model to illustrate latent conditions or adopt a systems-based approach like AcciMap.
  • Integrating error classifications with existing incident reporting databases without introducing categorization bias.
  • Addressing inconsistencies in error labeling across multidisciplinary teams during joint investigations.
  • Calibrating error taxonomies to fit industry-specific workflows, such as nuclear operations versus software deployment.

Module 2: Investigative Methodologies for Human-Centered Incidents

  • Choosing between Event and Causal Factor Analysis (ECFA) and Tripod Beta based on organizational maturity and data availability.
  • Designing interview protocols that avoid leading questions while extracting accurate recollections from involved personnel.
  • Determining the scope of investigation when human error is suspected but systemic factors are poorly documented.
  • Managing investigator bias when prior incidents have resulted in disciplinary actions against individuals.
  • Integrating timeline reconstruction tools with human performance data to identify sequence deviations.
  • Validating witness statements against telemetry, logs, or procedural checklists without undermining trust.

Module 3: Contextualizing Performance Shaping Factors

  • Assessing workload, fatigue, and shift patterns when evaluating operator decisions in 24/7 operational centers.
  • Quantifying the impact of inadequate training duration versus poor training content on procedural deviations.
  • Mapping communication breakdowns to organizational hierarchy or tool limitations in cross-functional teams.
  • Evaluating environmental stressors such as noise, lighting, or interface clutter in control room incidents.
  • Identifying mismatched mental models between team members during collaborative troubleshooting.
  • Documenting time pressure effects when justifying shortcuts in safety-critical procedures.

Module 4: Integrating Human Error Analysis into Existing RCA Frameworks

  • Modifying standard 5-Whys templates to prevent premature attribution of fault to individuals.
  • Embedding human performance checkpoints within Apollo Root Cause Analysis trees.
  • Adapting TapRooT® workflows to include preconditions for human error in healthcare settings.
  • Aligning human error findings with regulatory reporting requirements without oversimplifying causality.
  • Ensuring compatibility between human error data and asset management systems in industrial plants.
  • Training facilitators to recognize and challenge cultural tendencies to blame operators during group analyses.

Module 5: Designing Defenses Against Recurrent Human Error

  • Implementing forcing functions in digital workflows to prevent bypassing of critical verification steps.
  • Redesigning alarm systems to reduce cognitive overload and missed alerts in process control environments.
  • Choosing between automation and standardization based on error frequency and consequence severity.
  • Introducing peer verification steps without creating redundant bottlenecks in time-sensitive operations.
  • Updating procedures to reflect actual work practices rather than idealized task sequences.
  • Deploying decision support tools that provide context-aware guidance without undermining expertise.

Module 6: Organizational and Cultural Influences on Error Reporting

  • Designing non-punitive reporting systems that maintain accountability while encouraging disclosure.
  • Addressing management skepticism when incident trends point to leadership-driven systemic issues.
  • Measuring psychological safety in teams through structured surveys and behavioral indicators.
  • Managing legal and compliance constraints when sharing human error data across departments.
  • Balancing transparency in error communication with reputational and operational risks.
  • Establishing feedback loops so frontline staff see how reported errors lead to tangible changes.
  • Defining meaningful metrics such as near-miss rates per task type instead of aggregate error counts.
  • Using statistical process control to detect shifts in human performance across operational units.
  • Linking human error data to maintenance schedules and equipment failure histories.
  • Conducting periodic reviews of error trends to assess the effectiveness of implemented defenses.
  • Integrating human performance indicators into executive dashboards without oversimplification.
  • Updating risk models based on observed error patterns rather than theoretical hazard assessments.

Module 8: Leading Systemic Change Based on Human Error Insights

  • Prioritizing interventions when resource constraints prevent addressing all identified vulnerabilities.
  • Presenting human error findings to executive teams using operational language, not psychological jargon.
  • Coordinating cross-departmental action plans when root causes span training, design, and supervision.
  • Managing resistance from supervisors accustomed to individual accountability models.
  • Embedding human performance reviews into management of change (MOC) processes for new systems.
  • Revising promotion and performance evaluation criteria to reflect system-aware safety leadership.
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