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Problem Identification in Problem Management

Problem Identification in Problem Management

$250.00
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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What does the Problem Identification in Problem Management course cover?

Problem Identification in Problem Management is covered here in 8 modules: Defining the Scope and Boundaries of Problem Management, Integrating Problem Management with Incident and Change Workflows, Data-Driven Problem Detection and Prioritization and 5 more. The outline lists 48 specific topics, opening with determine which incident categories automatically trigger problem record creation based on recurrence thresholds and business impact criteria.

How do you approach Problem Identification in Problem Management step by step?

The work is sequenced in 8 stages. It starts with Defining the Scope and Boundaries of Problem Management, moves through Integrating Problem Management with Incident and Change Workflows and Data-Driven Problem Detection and Prioritization, and ends at Tooling and Automation in Problem Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Problem Identification in Problem Management course?

Module 1 is Defining the Scope and Boundaries of Problem Management. It works through determine which incident categories automatically trigger problem record creation based on recurrence thresholds and business impact criteria., establish integration points with change management to ensure problem records are referenced before high-risk changes are approved., negotiate escalation paths with service desk leadership to ensure timely handoff of recurring incidents.

How is the Problem Identification in Problem Management course delivered?

The Problem Identification 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 Problem Identification in Problem Management course cost?

The Problem Identification in Problem 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: Problem Identification Toolkit, Problem Identification Types Toolkit, Problem Identification in Problem-Solving Techniques A3, Problem Identification in Management Review.

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

This curriculum spans the design and operationalization of problem management practices across incident analysis, cross-team coordination, and automated workflows, comparable to implementing a multi-phase internal capability program within a large IT organization.

Module 1: Defining the Scope and Boundaries of Problem Management

  • Determine which incident categories automatically trigger problem record creation based on recurrence thresholds and business impact criteria.
  • Establish integration points with change management to ensure problem records are referenced before high-risk changes are approved.
  • Negotiate escalation paths with service desk leadership to ensure timely handoff of recurring incidents for problem investigation.
  • Define ownership models for known errors when multiple support tiers or third-party vendors are involved in resolution.
  • Implement filters in the ITSM tool to suppress duplicate problem creation from automated incident correlation rules.
  • Document criteria for closing a problem record when a workaround is implemented but a permanent fix is delayed indefinitely.

Module 2: Integrating Problem Management with Incident and Change Workflows

  • Configure incident-to-problem linkage rules that require mandatory justification when no problem record is created for repeated incidents.
  • Enforce pre-change problem review for repeat-occurring incidents to assess root cause before deploying emergency fixes.
  • Map incident volume spikes to problem identification triggers using automated thresholds in monitoring tools.
  • Design audit checkpoints to verify that change implementations reference associated problem records where applicable.
  • Coordinate with major incident management to initiate problem investigations during post-incident reviews.
  • Adjust workflow states to prevent problem closure if linked changes have not been successfully implemented and verified.

Module 3: Data-Driven Problem Detection and Prioritization

  • Configure service analytics dashboards to highlight incident clusters by CI, error code, or user group for proactive problem identification.
  • Apply weighted scoring models to prioritize problems based on business criticality, frequency, and resolution cost.
  • Integrate log aggregation tools with the problem management system to auto-suggest problem records from pattern-matching alerts.
  • Set up monthly service review meetings where data analysts present top incident drivers for problem intake consideration.
  • Implement tagging standards for problems to enable trend analysis across technology domains and support teams.
  • Adjust prioritization algorithms when business seasonality affects incident volume and severity distribution.

Module 4: Root Cause Analysis Techniques in Practice

  • Select between fishbone diagrams, 5 Whys, or fault tree analysis based on problem complexity and available data granularity.
  • Facilitate cross-functional RCA workshops with strict timeboxing and documented decision logs to prevent analysis paralysis.
  • Require evidence-based assertions during RCA sessions, rejecting hypotheses that lack log, configuration, or monitoring data.
  • Assign temporary workaround ownership during RCA when prolonged analysis delays resolution.
  • Document interim findings in the problem record when RCA spans multiple meetings or team rotations.
  • Validate root cause by reproducing the failure in a test environment before finalizing the RCA report.

Module 5: Managing Known Errors and Workarounds

  • Enforce a standardized template for known error documentation that includes detection method, scope, and workaround steps.
  • Link known errors to knowledge base articles accessible to service desk agents during incident resolution.
  • Implement periodic review cycles to assess whether workarounds remain valid after system updates or configuration changes.
  • Track workaround usage metrics to justify investment in permanent fixes based on operational burden.
  • Coordinate with application support teams to embed workaround instructions in error messages or user interfaces.
  • Flag known errors in the CMDB to influence risk assessment during change advisory board evaluations.

Module 6: Governance and Performance Measurement

  • Define SLA targets for problem investigation initiation based on incident recurrence and service level priorities.
  • Track mean time to identify (MTTI) as a KPI and adjust staffing or tooling when thresholds are consistently missed.
  • Conduct quarterly audits to verify that problem records contain complete RCA documentation and resolution evidence.
  • Report problem backlog aging to IT leadership, highlighting records stalled due to resource or vendor dependencies.
  • Align problem management metrics with business service availability targets to demonstrate operational impact.
  • Adjust governance thresholds annually based on changes in service portfolio complexity and support team structure.

Module 7: Cross-Functional Collaboration and Stakeholder Alignment

  • Establish a problem review board with representatives from operations, development, and business units to prioritize problem intake.
  • Define escalation protocols for problems involving third-party vendors, including contractual SLA enforcement mechanisms.
  • Coordinate with security teams to triage vulnerabilities identified through incident patterns as high-priority problems.
  • Integrate problem status updates into regular service performance reports for business stakeholders.
  • Facilitate joint problem-solving sessions between infrastructure and application teams when root cause spans domains.
  • Document decisions to defer problem resolution due to cost-benefit analysis or strategic technology retirement plans.

Module 8: Tooling and Automation in Problem Management

  • Configure AI-driven incident clustering to suggest potential problem records based on semantic and temporal similarity.
  • Implement automated correlation between monitoring alerts and existing known errors to reduce false-positive problem creation.
  • Customize problem form fields to capture integration data required by downstream change and release processes.
  • Develop API integrations between the CMDB and problem management system to validate configuration item relationships during RCA.
  • Automate notifications to stakeholders when problem investigation milestones are missed or extended.
  • Use robotic process automation to populate problem records with baseline data from incident and change histories.
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