Description

This curriculum spans the full lifecycle of service evaluation, comparable to an ongoing internal capability program that integrates audit-level scrutiny, cross-functional governance, and continuous improvement practices seen in large-scale service portfolio transformations.

Module 1: Defining Service Evaluation Objectives and Scope

Selecting which services to evaluate based on business impact, usage trends, and lifecycle stage, balancing resource constraints with strategic priorities.
Establishing evaluation criteria that align with enterprise architecture principles, such as scalability, compliance, and integration depth.
Determining whether evaluations will be retrospective (post-implementation) or continuous (integrated into operational cycles).
Negotiating stakeholder access to service data, including performance metrics, incident logs, and user feedback, across siloed departments.
Deciding whether to include shadow IT services in the evaluation scope, considering risk exposure and governance implications.
Documenting assumptions and constraints that limit the depth or breadth of evaluation, such as contractual obligations or vendor dependencies.

Module 2: Establishing Evaluation Metrics and KPIs

Selecting outcome-based KPIs (e.g., business process efficiency gains) versus output-based metrics (e.g., ticket resolution time) for service assessment.
Normalizing performance data across services with different measurement baselines, such as uptime percentages or cost-per-transaction.
Calibrating service health scores using weighted scoring models that reflect organizational priorities like security over cost.
Integrating customer satisfaction data from surveys or support interactions without introducing sampling bias.
Defining thresholds for acceptable performance that trigger reevaluation or decommissioning decisions.
Mapping service metrics to financial indicators such as TCO, ROI, and opportunity cost for comparative analysis.

Module 3: Conducting Service Health and Performance Assessments

Correlating incident frequency and severity trends with changes in service configuration or underlying infrastructure.
Assessing technical debt accumulation in service codebases, integrations, or dependencies that increase maintenance burden.
Evaluating service availability against SLA commitments, accounting for regional outages and partial degradation.
Reviewing incident response effectiveness, including MTTR and recurrence rates for known error patterns.
Validating monitoring coverage to ensure critical transactions and dependencies are observable and alertable.
Identifying performance bottlenecks in shared platforms or backend systems that affect multiple services.

Module 4: Analyzing Business and Strategic Alignment

Mapping each service to current business capabilities and strategic initiatives to assess relevance and contribution.
Identifying services that support sunsetted business units or discontinued product lines.
Assessing duplication across services that fulfill similar business functions, leading to inefficiency and user confusion.
Evaluating the strategic importance of vendor-locked services versus those with viable open or in-house alternatives.
Reviewing service usage patterns to detect misalignment between intended purpose and actual adoption.
Documenting dependencies between services and enterprise transformation programs, such as cloud migration or ERP consolidation.

Module 5: Evaluating Financial and Resource Efficiency

Reconciling budget allocations with actual consumption data for cloud, licensing, and support costs.
Identifying underutilized services with high fixed costs that may warrant consolidation or termination.
Calculating full lifecycle costs, including onboarding, training, and integration, not just licensing or hosting fees.
Assessing staffing overhead required to operate and support each service relative to automation potential.
Comparing renewal costs against market benchmarks to detect overpayment or vendor lock-in penalties.
Factoring in opportunity cost of maintaining legacy services that consume resources from innovation initiatives.

Module 6: Managing Risk and Compliance Exposure

Assessing data residency and sovereignty risks for services hosted in non-compliant geographic regions.
Verifying that services meet current regulatory requirements such as GDPR, HIPAA, or SOX, including audit trail completeness.
Evaluating third-party vendor security posture through documented assessments or penetration test results.
Identifying services with expired or non-renewable support contracts that increase operational risk.
Documenting single points of failure in service architecture that could disrupt critical business operations.
Reviewing patch management cadence and vulnerability exposure windows for software-based services.

Module 7: Facilitating Governance and Decision-Making

Presenting evaluation findings to portfolio review boards with clear recommendations for retain, retire, replace, or refactor.
Managing stakeholder resistance to service decommissioning by documenting business continuity plans and migration paths.
Establishing approval workflows for service changes based on impact level and risk classification.
Integrating evaluation outcomes into formal change control processes to prevent unapproved service modifications.
Defining ownership accountability for services with shared or ambiguous stewardship across departments.
Updating service portfolio documentation to reflect evaluation outcomes and ensure configuration management accuracy.

Module 8: Implementing Continuous Evaluation Cycles

Scheduling recurring evaluation intervals based on service criticality and volatility, ranging from quarterly to biennial.
Automating data collection for KPIs using APIs and integration with ITSM, monitoring, and financial systems.
Embedding evaluation triggers into change management processes, such as major version upgrades or vendor transitions.
Establishing feedback loops with service owners to incorporate operational insights into future assessments.
Adjusting evaluation methodology based on lessons learned from prior cycles, including false positives or missed risks.
Archiving historical evaluation records to support trend analysis and audit requirements over time.