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Root Cause Elimination in Problem Management

Root Cause Elimination in Problem Management

$247.00
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Course access is prepared after purchase and delivered via email
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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 Root Cause Elimination in Problem Management course cover?

Root Cause Elimination in Problem Management is covered here in 8 modules: Problem Identification and Prioritization Frameworks, Evidence Collection and Data Integrity, Root Cause Analysis Methodology Selection and 5 more. The outline lists 48 specific topics, opening with define severity thresholds for problem records based on business impact, frequency, and system criticality to ensure consistent triage across support teams.

How do you approach Root Cause Elimination in Problem Management step by step?

The work is sequenced in 8 stages. It starts with Problem Identification and Prioritization Frameworks, moves through Evidence Collection and Data Integrity and Root Cause Analysis Methodology Selection, and ends at Performance Measurement and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Root Cause Elimination in Problem Management course?

Module 1 is Problem Identification and Prioritization Frameworks. It works through define severity thresholds for problem records based on business impact, frequency, and system criticality to ensure consistent triage across support teams., select and configure automated alert correlation rules in monitoring tools to reduce noise and surface repeat incidents indicating underlying problems., implement a cross-functional problem review board with representatives from operations.

How is the Root Cause Elimination in Problem Management course delivered?

The Root Cause Elimination in Problem 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 Elimination in Problem Management course cost?

The Root Cause Elimination in Problem Management 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: Root Cause Elimination in Implementing OPEX, Root Cause Elimination in Service Desk, Root Cause Elimination in Hoshin Kanri Kit, Root Cause Elimination and Shingo Prize Kit.

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

This curriculum spans the full lifecycle of problem management, equivalent to a multi-workshop program used to redesign an organisation’s incident-to-problem resolution workflow, from detection and cross-team collaboration to fix validation and organisational learning.

Module 1: Problem Identification and Prioritization Frameworks

  • Define severity thresholds for problem records based on business impact, frequency, and system criticality to ensure consistent triage across support teams.
  • Select and configure automated alert correlation rules in monitoring tools to reduce noise and surface repeat incidents indicating underlying problems.
  • Implement a cross-functional problem review board with representatives from operations, development, and business units to validate problem ownership and priority.
  • Integrate incident trend data from service desks with CMDB relationships to identify recurring failures linked to specific configuration items.
  • Apply Pareto analysis to incident volume data to focus problem management efforts on the 20% of causes responsible for 80% of disruptions.
  • Establish criteria for escalating latent problems that lack immediate impact but pose high risk during peak business cycles or system changes.

Module 2: Evidence Collection and Data Integrity

  • Design log retention policies that balance storage costs with forensic needs for problem investigation across distributed systems.
  • Standardize timestamp synchronization across infrastructure components to enable accurate sequence reconstruction during root cause analysis.
  • Configure audit trails for configuration changes to ensure change-related problems can be traced to specific deployments or rollbacks.
  • Enforce structured logging formats in application development to facilitate automated parsing and anomaly detection during problem reviews.
  • Implement secure access controls for diagnostic data to prevent contamination or unauthorized modification of evidence during active investigations.
  • Integrate synthetic transaction monitoring data with real user monitoring to distinguish infrastructure degradation from application logic errors.

Module 3: Root Cause Analysis Methodology Selection

  • Choose between Fishbone, 5 Whys, and Fault Tree Analysis based on problem complexity, data availability, and stakeholder expertise.
  • Adapt the 5 Whys technique to avoid circular reasoning by requiring each “why” to reference documented evidence or system behavior.
  • Map service dependencies using CMDB data to guide Fishbone diagrams toward infrastructure, application, or process categories.
  • Define stopping criteria for root cause depth to prevent over-investigation of minor contributors with negligible remediation ROI.
  • Use fault injection testing results to validate hypothesized failure paths identified during formal root cause sessions.
  • Document decision rationale for selecting a specific RCA method to support audit requirements and post-mortem reviews.

Module 4: Cross-Functional Collaboration and Escalation

  • Assign problem managers with technical authority to convene subject matter experts from siloed teams during major incident follow-up.
  • Define escalation paths for unresolved problems that exceed SLA-defined investigation windows or require executive intervention.
  • Coordinate joint troubleshooting sessions between network, database, and application teams using shared diagnostic environments.
  • Resolve ownership disputes over shared components by referencing RACI matrices during problem assignment.
  • Integrate problem status updates into existing DevOps stand-ups to maintain visibility without creating redundant meetings.
  • Manage conflicting remediation proposals by requiring impact assessments and rollback plans before solution approval.

Module 5: Solution Design and Change Integration

  • Translate root cause findings into specific change requests with defined success metrics and validation procedures.
  • Route permanent fixes through standard change advisory board (CAB) processes while documenting risk mitigation for emergency implementations.
  • Design compensating controls for problems where permanent fixes require third-party vendor timelines beyond internal SLAs.
  • Validate fix effectiveness by comparing pre- and post-implementation incident rates for the affected service or component.
  • Coordinate fix deployment timing with release schedules to minimize integration conflicts and regression risks.
  • Document known error database (KEDB) entries with precise workaround steps and trigger conditions for future incident matching.

Module 6: Verification and Validation of Fixes

  • Define acceptance criteria for problem resolution that include both technical validation and business service restoration.
  • Conduct regression testing in staging environments that mirror production topology to verify fix stability under load.
  • Monitor key performance indicators for 72 hours post-implementation to detect delayed side effects or partial resolution.
  • Compare fix outcomes against initial problem scope to prevent solution creep that introduces new failure modes.
  • Use synthetic transactions to confirm service-level objectives are met after the fix is deployed.
  • Close problem records only after confirmation from service owners that business operations have normalized.

Module 7: Knowledge Management and Organizational Learning

  • Structure known error articles with machine-readable tags to enable automated matching during incident logging.
  • Integrate KEDB with self-service portals to allow support analysts to apply documented workarounds without problem re-investigation.
  • Conduct quarterly reviews of unresolved problems to reassess feasibility of fixes given evolving technology or business priorities.
  • Archive resolved problem records with full evidence trails to support compliance audits and vendor contract negotiations.
  • Update onboarding materials with lessons from major problem investigations to improve new hire troubleshooting proficiency.
  • Feed anonymized problem data into training simulations for incident response teams to reinforce pattern recognition.

Module 8: Performance Measurement and Continuous Improvement

  • Track mean time to identify (MTTI) and mean time to resolve (MTTR) for problems to identify bottlenecks in investigation workflows.
  • Calculate problem recurrence rate by matching new incidents to known error records to measure KEDB effectiveness.
  • Measure percentage of problems resolved with permanent fixes versus workarounds to assess technical debt reduction.
  • Conduct trend analysis on problem categories to inform capacity planning and proactive maintenance initiatives.
  • Review problem management process adherence through random sampling of closed records for documentation completeness.
  • Adjust problem prioritization criteria annually based on business service evolution and historical incident impact data.
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