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Process Improvement in Problem Management

$249.00
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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This curriculum spans the full lifecycle of problem management, equivalent in scope to a multi-workshop operational readiness program, covering diagnostic techniques, cross-team coordination, tool configuration, and organizational change required to sustain improvements in complex IT environments.

Module 1: Problem Identification and Root Cause Analysis

  • Selecting between Pareto analysis and fishbone diagrams based on incident data availability and team familiarity with qualitative vs. quantitative methods.
  • Defining thresholds for escalating recurring incidents to problem records, balancing operational urgency with resource constraints.
  • Implementing cross-functional fault tree analysis sessions with IT operations and application support teams to isolate infrastructure vs. code-related root causes.
  • Integrating event correlation tools with service desks to detect patterns in incident tickets before formal problem logging.
  • Deciding when to apply 5 Whys versus Apollo Root Cause Analysis based on problem complexity and stakeholder involvement requirements.
  • Documenting root cause findings in a standardized template that supports audit trails and future knowledge base integration.

Module 2: Problem Record Management and Prioritization

  • Establishing scoring models for problem prioritization using impact (number of users), frequency (recurrence rate), and business criticality.
  • Configuring CMDB relationships to automatically flag CIs involved in multiple high-severity incidents for problem review.
  • Assigning problem owners based on CI ownership and technical expertise, requiring coordination with asset management teams.
  • Implementing aging rules to escalate stale problem records that exceed resolution SLAs without updates.
  • Aligning problem prioritization with change advisory board (CAB) schedules to ensure timely implementation of fixes.
  • Managing duplicate problem records by enforcing mandatory search protocols before new logging.

Module 3: Problem Resolution and Known Error Management

  • Drafting known error articles (KEAs) with actionable workarounds while permanent fixes undergo testing and change approval.
  • Coordinating with development teams to validate fixes in staging environments before scheduling production deployments.
  • Linking resolved problems to associated changes and incidents to maintain end-to-end traceability.
  • Enforcing peer review of root cause validation steps before closing high-impact problem records.
  • Integrating KEAs into the service desk knowledge base with visibility controls to prevent premature disclosure.
  • Updating incident resolution scripts to reference workarounds from active known errors.

Module 4: Integration with Incident and Change Management

  • Configuring incident-to-problem linking rules to auto-suggest problem records after three related incidents.
  • Requiring incident resolution notes to reference associated problem or known error IDs before closure.
  • Mapping problem-driven changes to standard, normal, or emergency change workflows based on risk and urgency.
  • Ensuring CAB reviews include problem history and risk assessment for proposed fixes.
  • Synchronizing problem status updates with change implementation milestones to avoid premature closure.
  • Designing feedback loops from change outcomes to problem records to confirm resolution effectiveness.

Module 5: Metrics, Reporting, and Performance Tracking

  • Selecting KPIs such as mean time to identify (MTTI), mean time to resolve (MTTR), and problem backlog aging for executive reporting.
  • Building dashboards that correlate problem volume with change failure rates to identify systemic instability.
  • Filtering problem reports by CI category, support group, or business service to target improvement initiatives.
  • Validating data accuracy by auditing a sample of closed problem records for completeness and root cause validity.
  • Adjusting reporting frequency based on stakeholder needs—weekly for operations, monthly for governance boards.
  • Using trend analysis to identify recurring problem domains requiring architectural remediation.

Module 6: Governance and Continuous Improvement

  • Establishing a problem review board with representatives from service desk, operations, and development to oversee backlog.
  • Defining problem management policy exceptions for time-sensitive production environments with documented risk acceptance.
  • Conducting post-implementation reviews after major problem resolutions to assess long-term impact.
  • Updating problem management procedures following organizational changes such as mergers or tool migrations.
  • Aligning problem management objectives with ITIL practices and internal audit requirements.
  • Rotating problem ownership among senior engineers to distribute expertise and prevent knowledge silos.

Module 7: Tool Configuration and Workflow Automation

  • Customizing problem ticket forms to capture evidence, test results, and stakeholder approvals in a single workflow.
  • Configuring automated notifications for problem milestones such as overdue analysis or pending CAB review.
  • Mapping problem states (e.g., identified, diagnosed, resolved) to workflow transitions with role-based access controls.
  • Integrating problem management with monitoring tools to trigger problem creation from threshold breaches.
  • Implementing API-based synchronization between problem records and external code repositories for fix tracking.
  • Optimizing full-text search and tagging in the problem database to support efficient retrieval during incident triage.

Module 8: Organizational Adoption and Role Enablement

  • Defining role-specific training paths for service desk analysts, problem managers, and technical leads.
  • Conducting tabletop exercises to simulate major problem scenarios and test coordination protocols.
  • Integrating problem management expectations into performance goals for support teams.
  • Addressing resistance from teams that view problem logging as additional overhead by linking reductions in incident volume to resolved problems.
  • Establishing escalation paths for unresolved problems that exceed resolution timelines or require executive intervention.
  • Facilitating knowledge transfer sessions between problem owners and二线/三线 support to disseminate root cause insights.