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Process Review in Continual Service Improvement

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This curriculum spans the full lifecycle of process review activities in IT service management, comparable to a multi-workshop advisory engagement that integrates data validation, performance analysis, root cause investigation, and governance alignment across interdependent teams and systems.

Module 1: Defining Scope and Objectives for Process Reviews

  • Selecting which ITIL processes to review based on incident volume, audit findings, or stakeholder complaints
  • Determining whether the review will focus on compliance, efficiency, or alignment with business goals
  • Establishing boundaries between interdependent processes to avoid scope creep during assessment
  • Securing access to process documentation, performance data, and key personnel without disrupting operations
  • Deciding whether to include third-party vendors or outsourced functions in the review scope
  • Aligning review timelines with change freeze periods or fiscal reporting cycles to minimize conflict

Module 2: Data Collection and Evidence Validation

  • Choosing between automated log extraction and manual sampling based on system capabilities and data integrity
  • Validating self-reported process adherence by comparing staff interviews with ticketing system records
  • Handling incomplete or inconsistent historical data due to system migrations or retention policies
  • Designing survey instruments that avoid leading questions while capturing actionable feedback
  • Obtaining consent for audio recording of process walkthroughs while complying with privacy regulations
  • Mapping process inputs and outputs using actual work orders instead of theoretical workflows

Module 3: Process Performance Measurement and Baseline Development

  • Selecting KPIs that reflect operational reality, such as mean time to resolve vs. first-call resolution rate
  • Adjusting baselines to account for seasonal demand spikes or one-time projects that skew averages
  • Deciding whether to normalize metrics across teams or allow for context-specific thresholds
  • Integrating data from disparate sources (e.g., CMDB, service desk, monitoring tools) into a unified dashboard
  • Identifying lagging indicators that signal systemic issues, such as repeated CAB escalations
  • Documenting assumptions behind metric calculations to ensure consistency in future reviews

Module 4: Root Cause Analysis and Gap Identification

  • Choosing between fishbone diagrams, 5 Whys, and Pareto analysis based on data availability and issue complexity
  • Attributing process failures to structural flaws versus human error without assigning blame
  • Distinguishing between symptoms (e.g., SLA breaches) and root causes (e.g., unclear role definitions)
  • Handling conflicting root cause hypotheses from different departments or senior stakeholders
  • Assessing whether gaps stem from outdated processes or from poor adherence to current ones
  • Documenting exceptions that are justified by business needs versus those that indicate non-compliance

Module 5: Designing and Prioritizing Process Improvements

  • Ranking improvement initiatives using cost-benefit analysis and risk exposure scoring
  • Deciding whether to automate a manual step or eliminate the step entirely based on value stream analysis
  • Modifying RACI matrices when introducing new roles or consolidating redundant approvals
  • Integrating feedback loops into processes, such as post-implementation reviews for changes
  • Aligning process changes with upcoming technology upgrades to reduce rework
  • Deferring low-impact improvements to maintain focus on critical service risks

Module 6: Change Management and Stakeholder Engagement

  • Identifying informal influencers within teams to champion process changes alongside formal leads
  • Conducting targeted training sessions for specific roles rather than organization-wide broadcasts
  • Managing resistance from team leads who perceive process changes as increased oversight
  • Scheduling process rollouts during low-activity periods to allow for adjustment and error correction
  • Updating runbooks and knowledge base articles in parallel with process implementation
  • Establishing feedback channels for reporting unintended consequences after go-live

Module 7: Monitoring, Control, and Continuous Feedback

  • Configuring real-time alerts for KPI deviations that exceed predefined thresholds
  • Conducting spot audits to verify that documented processes match actual practice
  • Rotating process owners to prevent knowledge silos and encourage accountability
  • Adjusting review frequency based on process stability—quarterly for stable, monthly for high-risk
  • Archiving outdated process versions with metadata to support compliance audits
  • Integrating process review findings into the organization’s lessons learned repository

Module 8: Governance and Compliance Integration

  • Aligning process review cycles with internal audit schedules to reduce duplication
  • Documenting exceptions to standard processes with formal risk acceptance from business units
  • Mapping process controls to regulatory requirements such as ISO 20000 or SOX
  • Reporting process health metrics to steering committees using standardized governance templates
  • Handling conflicting directives between corporate policies and operational realities
  • Updating process documentation to reflect legal or regulatory changes within mandated timeframes