Description

This curriculum spans the design and execution of customer experience improvements across seven operational domains, comparable to a multi-workshop operational transformation program that integrates journey redesign, frontline feedback, cross-functional governance, and technology scaling in complex organisations.

Module 1: Mapping and Redesigning Customer Journey Touchpoints

Decide which legacy customer touchpoints to retire, automate, or redesign based on failure frequency and operational cost per interaction.
Integrate frontline employee feedback into journey maps to identify hidden friction points not captured in CRM data.
Align service blueprinting exercises with SLA commitments across departments to ensure operational feasibility.
Implement cross-functional workshops to resolve ownership conflicts over handoff stages between sales, support, and fulfillment.
Use time-in-state analysis to pinpoint bottlenecks in customer workflows and prioritize redesign efforts based on volume and impact.
Validate journey changes through controlled operational pilots before enterprise-wide rollout to contain risk exposure.

Module 2: Operationalizing Voice of the Customer (VoC) Systems

Select feedback channels (e.g., post-interaction surveys, social listening, call transcription) based on data actionability and integration complexity with existing systems.
Define thresholds for automated alerting on negative sentiment that trigger operational reviews without overwhelming response teams.
Map recurring VoC themes to specific process owners and establish accountability for resolution timelines.
Balance real-time feedback capture with customer fatigue by adjusting survey frequency based on interaction criticality and channel.
Integrate VoC data with operational KPIs (e.g., first contact resolution, handle time) to correlate experience with performance.
Design feedback loops that close the gap between insight and action by requiring documented responses to high-impact themes.

Module 3: Aligning Service Design with Operational Capacity

Conduct capacity modeling to determine whether new service promises (e.g., 2-hour response) are sustainable during peak loads.
Negotiate trade-offs between service level targets and staffing budgets with finance and operations leadership.
Adjust self-service offerings based on containment rate performance and escalation patterns to optimize channel mix.
Implement service tier definitions that reflect differential operational costs and resource allocation.
Revise service catalogs in coordination with IT and support teams to reflect actual deliverability, not aspirational promises.
Monitor schedule adherence in contact centers to maintain service levels without overstaffing.

Module 4: Integrating Frontline Workforce Insights into Process Improvement

Structure routine feedback collection from frontline staff using standardized forms tied to performance review cycles.
Establish escalation paths for agent-identified systemic issues to reach process redesign teams without managerial filtering.
Incorporate agent input into root cause analysis of customer escalations to identify operational gaps.
Balance agent autonomy in resolving issues with compliance and risk controls in regulated environments.
Use observed workarounds as signals of process failure and prioritize fixes based on frequency and risk.
Design recognition mechanisms that reward process improvement suggestions tied to measurable operational outcomes.

Module 5: Managing Cross-Functional Dependencies in Customer Operations

Define RACI matrices for customer-facing processes spanning multiple departments to clarify decision rights and handoffs.
Negotiate shared KPIs between operations, marketing, and product teams to align incentives around customer outcomes.
Implement integrated operational dashboards that expose interdependencies and delay propagation across functions.
Facilitate blame-free post-mortems for customer-impacting incidents to uncover systemic coordination failures.
Standardize data definitions (e.g., "resolved," "delivered") across systems to reduce reconciliation delays and disputes.
Establish governance forums with rotating membership to review and resolve cross-functional process conflicts.

Module 6: Scaling Operational Improvements Through Technology and Automation

Evaluate RPA candidates based on process stability, exception rate, and ROI over a 12-month operational horizon.
Design exception handling protocols for automated workflows to ensure timely human intervention when rules fail.
Integrate AI-driven routing engines with real-time workload data to balance service quality and agent utilization.
Enforce version control and change management for automated scripts to maintain auditability and compliance.
Assess integration effort between new tools (e.g., chatbots, knowledge bases) and legacy backend systems before deployment.
Monitor automation performance against customer satisfaction and operational efficiency metrics to detect unintended consequences.

Module 7: Measuring and Governing Customer Experience Outcomes

Select leading indicators (e.g., contact repeat rate, effort score) that predict long-term loyalty better than lagging NPS.
Attribute operational cost changes to specific CX initiatives using activity-based costing models.
Define escalation thresholds for experience metrics that trigger cross-functional review and action planning.
Implement balanced scorecards that link customer experience results to employee engagement and operational efficiency.
Conduct quarterly business reviews that require process owners to report on CX metric trends and corrective actions.
Adjust measurement frequency and sampling strategy based on customer segment value and operational volatility.