This curriculum spans the full lifecycle of customer-facing process redesign, equivalent in scope to a multi-workshop operational transformation program, covering strategic scoping, detailed as-is analysis, technology integration, change adoption, and compliance governance across complex organizational silos.
Module 1: Strategic Alignment and Scope Definition
- Decide whether to initiate redesign from customer pain points or internal efficiency gaps, weighing stakeholder influence and data availability.
- Define process boundaries by mapping handoffs across departments, determining where ownership begins and ends for end-to-end accountability.
- Select which customer-facing processes to prioritize based on impact metrics such as customer effort score, complaint volume, and cycle time.
- Negotiate scope inclusion/exclusion with business unit leaders who resist changes affecting their KPIs or headcount.
- Establish a cross-functional steering committee with decision rights to resolve conflicts over process ownership and resource allocation.
- Document current-state process performance baselines using operational data, not estimates, to justify redesign investment.
Module 2: As-Is Process Documentation and Analysis
- Conduct process walkthroughs with frontline staff to capture actual workflows, not just policy-compliant versions.
- Identify shadow processes and workarounds used to bypass system limitations or approval bottlenecks.
- Map process variants across regions, channels, or customer segments, determining whether standardization is feasible or desirable.
- Quantify rework loops and handoff delays using timestamped transaction logs from CRM and ERP systems.
- Classify non-value-added steps by type (e.g., inspection, transfer, wait) using time-motion analysis from sample cases.
- Validate process maps with legal and compliance teams to ensure regulatory requirements are explicitly represented.
Module 3: Customer-Centric Redesign Principles
- Redesign service touchpoints based on customer journey analytics, not internal functional logic.
- Consolidate fragmented interactions (e.g., billing, support, onboarding) into unified customer episodes.
- Implement straight-through processing rules for low-risk transactions, defining risk thresholds with underwriting teams.
- Balance self-service automation with human escalation paths, defining clear triggers for agent intervention.
- Embed customer feedback loops into process design using real-time survey data and sentiment analysis.
- Negotiate data-sharing agreements across silos to enable personalized service without violating privacy policies.
Module 4: Technology Enablement and System Integration
- Select workflow engine capabilities based on process complexity, concurrency needs, and exception handling requirements.
- Design API contracts between legacy systems and new automation tools, ensuring data consistency and error handling.
- Configure business rules in a centralized repository to allow non-technical stakeholders to update logic with audit trails.
- Integrate robotic process automation (RPA) at specific handoff points where structured data transfer occurs.
- Define data ownership and stewardship roles for master data entities used across redesigned processes.
- Test exception routing paths under system failure conditions to ensure continuity and notification protocols.
Module 5: Change Management and Organizational Adoption
- Identify informal influencers in each department to co-lead change adoption, not just formal managers.
- Redesign performance metrics and incentives to align with new process behaviors and outcomes.
- Develop role-specific training materials based on actual system simulations, not generic overviews.
- Run parallel process execution during transition to compare old and new performance with real transactions.
- Establish a hyper-care support team with process and system experts available during initial go-live weeks.
- Monitor user adoption through login frequency, task completion rates, and support ticket trends.
Module 6: Performance Measurement and Continuous Improvement
- Define leading and lagging KPIs for each redesigned process, ensuring they reflect customer and operational outcomes.
- Configure real-time dashboards with drill-down capability to root cause performance deviations.
- Conduct monthly process review meetings with data owners to assess performance against targets.
- Implement a structured backlog for process improvements, prioritized by impact and effort.
- Use statistical process control to distinguish common cause variation from special cause events.
- Integrate process mining tools to continuously compare actual execution against designed workflows.
Module 7: Governance, Risk, and Compliance Integration
- Embed mandatory control points into process flows for auditability, such as dual approvals or segregation of duties.
- Document compliance requirements per jurisdiction and map them to specific process steps and data fields.
- Conduct privacy impact assessments when redesigning processes that handle personal data.
- Establish escalation protocols for handling exceptions that fall outside approved process paths.
- Archive process configuration changes with version control and approval trails for regulatory audits.
- Coordinate with internal audit to align process redesign documentation with control testing requirements.