This curriculum spans the breadth of a multi-workshop process transformation program, addressing the same complexities found in enterprise-wide Lean deployments, from resolving cross-functional accountability conflicts and validating fragmented operational data to aligning process redesign with ERP constraints and governance frameworks.
Module 1: Defining Process Boundaries and Stakeholder Accountability
- Selecting start and end points for a process map based on customer touchpoints versus internal handoffs, balancing scope clarity with operational reality.
- Assigning RACI roles for cross-functional processes where legacy reporting lines conflict with process ownership requirements.
- Documenting implicit handoff expectations between departments when formal SLAs are absent or outdated.
- Deciding whether to standardize process boundaries globally or allow regional adaptations in multinational operations.
- Resolving conflicts between IT system transaction boundaries and actual workflow sequences during process discovery.
- Managing stakeholder resistance when redefining process ownership that shifts accountability from functional to process managers.
Module 2: Current State Process Mapping and Data Validation
- Choosing between swimlane diagrams, value stream maps, and BPMN based on audience, system integration needs, and regulatory requirements.
- Reconciling discrepancies between employee-reported process steps and system-generated audit logs or time stamps.
- Determining sample size and observation period for time-and-motion studies in variable-demand environments.
- Handling shadow IT tools (e.g., spreadsheets, messaging apps) that bypass official systems but are critical to process execution.
- Validating process frequency and volume data when ERP reports exclude manual or offline transactions.
- Deciding whether to map ideal workflows or actual behaviors when compliance and reality diverge significantly.
Module 3: Root Cause Analysis Using Structured Methodologies
- Selecting between 5 Whys, Fishbone diagrams, and Pareto analysis based on data availability and problem complexity.
- Facilitating cross-functional root cause sessions where participants attribute problems to other departments’ behaviors.
- Distinguishing between symptom remediation and systemic fixes when time pressure demands immediate action.
- Using failure mode and effects analysis (FMEA) to prioritize causes by detectability, severity, and occurrence frequency.
- Handling cases where root causes point to incentive structures or performance metrics that are politically protected.
- Documenting and version-controlling root cause conclusions to prevent re-litigation during future audits or incidents.
Module 4: Designing Future State Processes with Lean Principles
- Applying the 8 Wastes framework to identify non-value-added steps in knowledge work, where waste is less visible than in manufacturing.
- Redesigning handoffs to reduce batching and waiting time while maintaining control and compliance requirements.
- Integrating poka-yoke (error-proofing) mechanisms into digital workflows without increasing user friction or abandonment.
- Setting takt time for service processes with variable demand and unpredictable input quality.
- Deciding when to eliminate, automate, or standardize a process step based on error rate, volume, and skill dependency.
- Aligning future state designs with existing ERP functionality versus advocating for system customization or replacement.
Module 5: Change Management and Implementation Planning
- Sequencing process changes to avoid overloading shared resources or creating downstream bottlenecks.
- Developing communication plans that address both technical changes and shifts in employee autonomy or oversight.
- Designing pilot programs with measurable success criteria that reflect operational performance, not just user satisfaction.
- Coordinating training rollouts with system go-live dates when user access provisioning is managed by a separate IT team.
- Managing parallel run periods where old and new processes operate simultaneously, increasing workload temporarily.
- Handling rollback decisions when post-implementation metrics indicate performance degradation despite adherence to plan.
Module 6: Performance Measurement and KPI Governance
- Selecting leading versus lagging indicators that reflect process health without encouraging gaming or short-termism.
- Defining threshold values for KPIs based on historical performance, customer expectations, and cost-to-serve models.
- Resolving disputes over KPI ownership when multiple teams influence a single metric (e.g., order fulfillment cycle time).
- Integrating process KPIs into executive dashboards without oversimplifying or distorting underlying dynamics.
- Updating KPIs after process changes to avoid measuring outdated behaviors or irrelevant outcomes.
- Addressing data latency issues in real-time dashboards when source systems update only nightly or weekly.
Module 7: Sustaining Improvements and Scaling Across the Enterprise
- Establishing process governance councils with authority to enforce standards and resolve cross-functional conflicts.
- Conducting periodic process health checks to detect backsliding into old behaviors or workarounds.
- Standardizing improvement documentation templates to enable comparison and replication across business units.
- Integrating process audits into existing compliance frameworks without creating redundant reporting burdens.
- Scaling successful pilots by adapting, not copying, solutions to account for local constraints and capabilities.
- Embedding process thinking into onboarding and leadership development to institutionalize continuous improvement.
Module 8: Integrating Lean with Complementary Frameworks
- Aligning Lean process improvements with ISO 9001 requirements for documented procedures and corrective actions.
- Coordinating Lean initiatives with Six Sigma projects that require statistical validation of process capability.
- Mapping process waste reduction efforts to financial controls and cost allocation models for budget justification.
- Integrating process lead times into Agile sprint planning for IT development teams supporting operational processes.
- Using Lean principles to streamline workflows within ERP modules during system upgrade projects.
- Linking process performance data to ESG reporting requirements, particularly for resource utilization and waste metrics.
