Description

This curriculum spans the diagnostic phases of a multi-workshop operational review, comparable to an internal capability program that systematically evaluates service delivery across people, processes, and technology in preparation for targeted transformation.

Module 1: Defining Service Boundaries and Stakeholder Alignment

Determine which customer touchpoints (e.g., chat, email, phone, in-person) are included in the current state assessment based on volume, cost, and strategic importance.
Negotiate ownership of service metrics with marketing, sales, and IT to clarify accountability for customer experience outcomes.
Map customer service dependencies on backend systems (e.g., CRM, billing, inventory) to identify cross-functional pain points.
Decide whether frontline agent feedback will be formally collected and how it will influence the analysis scope.
Establish criteria for excluding legacy service channels (e.g., fax, postal mail) from detailed review based on usage trends.
Validate stakeholder definitions of “good service” by comparing executive expectations with operational KPIs.

Module 2: Data Collection and Performance Baseline Establishment

Select which historical service metrics (e.g., first response time, resolution rate, handle time) to normalize for seasonality and data quality issues.
Integrate data from siloed sources (e.g., helpdesk software, telephony logs, social media platforms) into a unified dataset for analysis.
Decide whether to include abandoned interactions (e.g., dropped calls, unsubmitted web forms) in service level calculations.
Address discrepancies between self-reported agent productivity and system-logged activity times.
Define thresholds for data completeness—determine acceptable levels of missing fields before excluding records.
Classify customer inquiries using a consistent taxonomy across channels to enable cross-channel performance comparison.

Module 3: Frontline Workforce and Process Evaluation

Assess variation in resolution approaches across teams or shifts to identify undocumented workarounds or knowledge gaps.
Review escalation paths to determine whether cases are being routed appropriately or unnecessarily burdening senior staff.
Document discrepancies between formal SOPs and actual agent behavior observed in call recordings or screen captures.
Evaluate the balance between script adherence and agent autonomy in handling complex or emotional customer interactions.
Analyze schedule adherence versus actual service demand patterns to identify understaffing or idle time.
Measure time spent by agents on non-customer tasks (e.g., system navigation, manual data entry) to quantify process inefficiency.

Module 4: Technology Stack and Tooling Audit

Inventory all tools used by service agents and assess integration depth (e.g., single sign-on, shared data models, real-time sync).

Identify instances where agents must toggle between three or more systems to resolve a single inquiry.

Evaluate search functionality within knowledge bases to determine success rates for finding accurate articles.

Measure latency between systems during customer interactions that contribute to handle time inflation.

Assess whether automation tools (e.g., chatbots, macros) are reducing or displacing customer effort.

Review licensing constraints that limit access to critical tools for temporary or part-time staff.

Module 5: Customer Journey and Experience Gaps

Reconstruct end-to-end journeys for common issue types to pinpoint handoff failures between departments.
Compare customer-reported effort scores with agent-reported resolution complexity to identify misalignment.
Determine whether repeat contacts stem from unresolved issues or new but related problems.
Analyze sentiment trends across interaction phases to locate emotional tipping points in the service experience.
Identify channels where customers initiate contact versus where resolution actually occurs (e.g., start on chat, resolve via phone).
Map customer expectations against actual service delivery for high-impact scenarios (e.g., outages, billing disputes).

Module 6: Governance, Compliance, and Risk Exposure

Audit data access permissions to ensure agents have necessary information without violating privacy policies.
Review recording and retention practices for compliance with regional regulations (e.g., GDPR, CCPA).
Assess escalation protocols for high-risk issues (e.g., legal complaints, security breaches) for timeliness and documentation.
Validate that service scripts and templates are reviewed and updated by legal or compliance teams.
Identify unapproved shadow tools (e.g., personal spreadsheets, messaging apps) used to manage customer data.
Measure consistency in applying refund, compensation, or goodwill policies across agents and regions.

Module 7: Benchmarking and Readiness for Future State Planning

Select peer organizations or industry benchmarks for comparison, accounting for differences in customer base and product complexity.
Quantify the cost of current inefficiencies (e.g., repeat contacts, long handle times) to prioritize improvement areas.
Determine which performance gaps are due to capability deficits versus design flaws in current processes.
Assess organizational readiness to adopt changes based on past adoption rates of new tools or workflows.
Identify quick-win opportunities that can be implemented without system changes or budget approval.
Define success criteria for the future state by aligning measurable outcomes with business objectives (e.g., churn reduction, NPS improvement).