Description

This curriculum spans the full lifecycle of human error investigation and organisational learning, comparable in scope to a multi-workshop safety governance program or an internal human factors capability build within high-reliability organisations.

Module 1: Defining the Scope and Boundaries of Human Error in Incident Investigations

Determine whether an incident stems from individual action or systemic failure by mapping decision pathways leading up to the event.
Select appropriate classification frameworks (e.g., HFACS, AcciMap) based on organizational complexity and regulatory environment.
Decide when to escalate an internal error review to a formal root-cause analysis team based on risk severity and recurrence potential.
Negotiate with legal and compliance teams to balance transparency in error reporting with liability exposure.
Establish thresholds for what constitutes a "reportable error" across departments with differing risk tolerances.
Define roles for frontline staff, supervisors, and investigators in contributing to the initial error documentation.

Module 2: Data Collection and Evidence Preservation in Human Factors Contexts

Design interview protocols that minimize recall bias while preserving psychological safety for involved personnel.
Secure time-sensitive operational data (e.g., logs, shift handover notes) before routine system overwrites occur.
Coordinate with IT to extract timestamped system usage records without violating employee privacy policies.
Validate self-reported actions against objective system telemetry or surveillance where available and permissible.
Preserve physical artifacts (e.g., misconfigured equipment, incorrect forms) as part of the investigative record.
Document environmental conditions (e.g., shift length, staffing levels) concurrent with the error occurrence.

Module 3: Applying Systemic Analysis Frameworks to Human Performance Failures

Map individual errors to latent organizational conditions using the Swiss Cheese model during timeline reconstruction.
Integrate task analysis (e.g., SHERPA) to identify mismatches between expected and actual cognitive workload.
Select between linear (e.g., 5 Whys) and systemic (e.g., STAMP) models based on process interdependencies.
Identify normalization of deviance by comparing current procedures to actual observed work patterns.
Trace feedback loop failures in monitoring systems that allowed errors to propagate undetected.
Assess whether training gaps reflect content deficiencies or accessibility and retention issues in delivery.

Module 4: Navigating Organizational Culture and Blame Dynamics

Implement just culture principles by differentiating reckless, human, and at-risk behaviors in findings.
Manage leadership expectations when analysis reveals management-level contributions to error conditions.
Structure investigation reports to emphasize system vulnerabilities without absolving individual accountability.
Address retaliation concerns by ensuring anonymity in aggregated data used for trend analysis.
Facilitate cross-functional workshops to validate findings with teams not involved in the incident.
Balance transparency in communication with the need to protect ongoing investigations and personnel.

Module 5: Designing and Validating Corrective and Preventive Actions

Convert root causes into specific, measurable controls (e.g., checklist integration, automated alerts).
Prioritize interventions based on feasibility, cost, and potential reduction in recurrence likelihood.
Prototype procedural changes in non-critical environments before full operational rollout.
Embed error detection mechanisms (e.g., peer verification steps) into revised workflows.
Negotiate resource allocation for corrective actions with operations leaders facing production pressures.
Define success metrics for interventions, such as reduction in near-miss reports or rework cycles.

Module 6: Integrating Human Error Insights into Process and System Design

Redesign interfaces to reduce mode errors by aligning system feedback with user mental models.
Incorporate forcing functions or physical constraints to prevent irreversible actions without confirmation.
Revise scheduling practices to account for circadian rhythms and cognitive fatigue in high-risk roles.
Update onboarding curricula to include context-specific error scenarios from past investigations.
Implement standard work templates that reduce reliance on memory for complex, infrequent tasks.
Coordinate with procurement to evaluate vendor systems for human factors compliance before adoption.

Module 7: Sustaining Error Learning Through Governance and Feedback Loops

Establish a centralized repository for error analyses with controlled access based on role and need.
Schedule recurring cross-departmental reviews of error trends to identify systemic improvement opportunities.
Integrate error data into management review meetings to maintain leadership engagement.
Update risk registers and business continuity plans based on validated error recurrence probabilities.
Calibrate audit checklists to reflect lessons learned from recent human error investigations.
Measure the effectiveness of the error learning system through lagging indicators like repeat incident rates.

Module 8: Legal, Ethical, and Regulatory Considerations in Error Disclosure

Determine disclosure requirements for incidents involving clients, regulators, or third parties under applicable laws.
Coordinate with legal counsel to redact sensitive information while preserving analytical integrity in reports.
Navigate mandatory reporting timelines without compromising investigation completeness.
Assess whether anonymized case studies can be used for training without violating confidentiality agreements.
Document consent and communication protocols when involving employees in post-incident debriefs.
Align internal error handling practices with external standards such as ISO 45001 or NTSB guidelines.