Skip to main content
Root Cause Elimination in Problem Management

Root Cause Elimination in Problem Management

$249.00
When you get access:
Course access is prepared after purchase and delivered via email
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.
How you learn:
Self-paced • Lifetime updates
Who trusts this:
Trusted by professionals in 160+ countries
Your guarantee:
30-day money-back guarantee — no questions asked
Adding to cart… The item has been added

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.
!