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Root Cause Analysis in Incident Management

Root Cause Analysis in Incident Management

$248.00
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What does the Root Cause Analysis in Incident Management course cover?

Root Cause Analysis in Incident Management is covered here in 8 modules: Foundations of Root Cause Analysis in Incident Response, Data Collection and Evidence Preservation, Causal Analysis Methodologies and 5 more. The outline lists 48 specific topics, opening with selecting incident classification schemas that align with existing ITIL incident management workflows without duplicating effort and closing with calibrating incident response playbooks based.

How do you approach Root Cause Analysis in Incident Management step by step?

The work is sequenced in 8 stages. It starts with Foundations of Root Cause Analysis in Incident Response, moves through Data Collection and Evidence Preservation and Causal Analysis Methodologies, and ends at Integration with Broader Reliability and Risk Frameworks. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Root Cause Analysis in Incident Management course?

Module 1 is Foundations of Root Cause Analysis in Incident Response. It works through selecting incident classification schemas that align with existing ITIL incident management workflows without duplicating effort, defining thresholds for when to initiate formal root cause analysis versus resolving through standard operating procedures, integrating RCA triggers into incident management tools such as ServiceNow or Jira to automate escalation paths and.

How is the Root Cause Analysis in Incident Management course delivered?

The Root Cause Analysis in Incident Management 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 Root Cause Analysis in Incident Management course cost?

The Root Cause Analysis in Incident Management course is $248 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: Root Cause Investigation in Root-cause analysis, Root Cause Analysis in Root-cause analysis, Root Cause Toolkit, Underlying Root in Root-cause analysis.

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

This curriculum spans the full lifecycle of incident-driven root cause analysis, equivalent in scope to an internal capability program that integrates technical forensics, human factors, and governance across multiple business functions, and mirrors the structure of multi-workshop advisory engagements focused on systemic reliability.

Module 1: Foundations of Root Cause Analysis in Incident Response

  • Selecting incident classification schemas that align with existing ITIL incident management workflows without duplicating effort
  • Defining thresholds for when to initiate formal root cause analysis versus resolving through standard operating procedures
  • Integrating RCA triggers into incident management tools such as ServiceNow or Jira to automate escalation paths
  • Establishing cross-functional incident review roles (e.g., incident commander, RCA lead, SMEs) with clear handoff protocols
  • Documenting incident timelines using chronological event logging with source attribution (logs, alerts, user reports)
  • Implementing standardized incident severity criteria that determine RCA depth and reporting requirements

Module 2: Data Collection and Evidence Preservation

  • Configuring log retention policies that balance storage costs with forensic needs for post-incident analysis
  • Using API integrations to pull real-time metrics from monitoring tools (e.g., Datadog, Prometheus) during active incidents
  • Preserving volatile system state (memory dumps, network connections) before system restart or failover
  • Applying chain-of-custody procedures for digital evidence in regulated environments (e.g., healthcare, finance)
  • Mapping data sources to specific incident components (e.g., load balancer logs, database query traces, CI/CD pipeline records)
  • Resolving access control conflicts when teams require read-only access to production systems for RCA purposes

Module 3: Causal Analysis Methodologies

  • Choosing between Fishbone, 5 Whys, and Apollo RCA based on incident complexity and stakeholder familiarity
  • Applying barrier analysis to identify failed or missing controls in security or availability incidents
  • Mapping human actions to system states to differentiate error from latent organizational weaknesses
  • Using fault tree analysis for high-risk infrastructure outages involving redundant systems
  • Validating causal relationships by checking for necessary and sufficient conditions before accepting a cause
  • Managing group bias in team-led 5 Whys sessions by assigning a neutral facilitator and requiring evidence for each "why"

Module 4: Human and Organizational Factors

  • Conducting non-punitive interviews with involved personnel using cognitive interview techniques to reduce recall bias
  • Mapping decision-making timelines to identify time pressure, information gaps, or alert fatigue during incident response
  • Integrating findings from post-mortems into team workload assessments and staffing decisions
  • Addressing normalization of deviance by comparing actual operational practices to documented procedures
  • Designing feedback loops between RCA outcomes and training programs for SRE, DevOps, and support teams
  • Assessing team communication breakdowns using recorded war room transcripts or chat logs (e.g., Slack, Microsoft Teams)

Module 5: Technical Deep-Dive and System Interdependencies

  • Reconstructing distributed transaction flows using correlation IDs across microservices and message queues
  • Identifying cascading failure points by analyzing retry logic, circuit breaker states, and backpressure signals
  • Using dependency mapping tools to visualize upstream/downstream impacts before finalizing root causes
  • Validating configuration drift by comparing runtime state to IaC templates (e.g., Terraform, Ansible)
  • Correlating code deployment timelines with incident onset to assess change-related causality
  • Performing controlled replay of production traffic in staging to reproduce race conditions or timing defects

Module 6: Actionable Recommendations and Corrective Actions

  • Writing corrective action plans with specific owners, measurable outcomes, and deadlines tied to incident SLAs
  • Prioritizing remediation tasks using risk matrices that weigh recurrence likelihood against business impact
  • Converting RCA findings into automated tests (e.g., chaos engineering scenarios, synthetic monitoring)
  • Integrating RCA-driven improvements into sprint backlogs for development teams using Jira epics
  • Designing telemetry enhancements (e.g., new alerts, dashboards) based on detection gaps identified in the incident
  • Rejecting superficial fixes (e.g., "increase training") in favor of systemic changes like process automation or access controls

Module 7: Governance, Reporting, and Continuous Improvement

  • Standardizing RCA report templates to ensure consistency across teams and audit readiness
  • Establishing a review board to validate RCA conclusions and challenge assumptions before closure
  • Tracking RCA completion rates and time-to-resolution as operational KPIs for reliability engineering
  • Archiving RCA reports in a searchable knowledge base with tagging by system, failure mode, and root cause category
  • Conducting quarterly trend analysis to identify recurring issues across multiple incidents
  • Aligning RCA outcomes with SLOs and error budget consumption to inform product risk decisions

Module 8: Integration with Broader Reliability and Risk Frameworks

  • Mapping RCA findings to NIST or ISO 27001 controls for compliance reporting in security incidents
  • Feeding RCA insights into threat modeling sessions for application redesign or feature development
  • Using incident patterns to refine capacity planning and scalability testing strategies
  • Linking RCA data to change advisory board (CAB) processes to improve change risk assessments
  • Integrating RCA outcomes into vendor management reviews for third-party service failures
  • Calibrating incident response playbooks based on gaps identified in communication, tooling, or escalation paths
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