The curriculum spans the design and execution of integrated improvement initiatives comparable to multi-phase advisory engagements, covering end-to-end workflows from strategic prioritization and data validation to cross-functional facilitation, governance integration, and organizational sustainment.
Module 1: Foundations of Lean and Value Stream Mapping
- Selecting appropriate value streams for analysis based on strategic alignment and customer impact, balancing scope breadth with team capacity.
- Conducting current-state mapping with cross-functional stakeholders, reconciling conflicting interpretations of process steps and handoffs.
- Distinguishing value-added from non-value-added activities using customer-defined criteria, particularly in administrative and service processes.
- Identifying and categorizing the seven classic wastes in complex operational environments where waste is embedded in policy or legacy systems.
- Validating process cycle efficiency calculations with actual time studies, adjusting for variability in operator skill and system constraints.
- Establishing baseline metrics for lead time, work-in-progress, and process flow to measure improvement impact over time.
Module 2: Six Sigma DMAIC Execution and Data Rigor
- Defining project charters with measurable CTQs (Critical-to-Quality characteristics) that align with business KPIs and avoid scope creep.
- Selecting appropriate data collection methods (e.g., automated logging vs. manual sampling) based on data availability, cost, and measurement system accuracy.
- Performing Gage R&R studies to validate measurement systems before proceeding with analysis, especially in service or subjective assessment contexts.
- Applying hypothesis testing (t-tests, ANOVA, chi-square) to isolate root causes, considering assumptions about data normality and independence.
- Designing and piloting process changes with controlled variables to isolate the impact of interventions before full rollout.
- Developing control plans with operational ownership, including response protocols for out-of-control signals in control charts.
Module 3: Continuous Improvement Infrastructure and Governance
- Structuring improvement portfolios to balance quick wins with strategic transformation initiatives, allocating resources accordingly.
- Establishing tiered review cadences (daily huddles, monthly reviews) that maintain momentum without overburdening operational teams.
- Defining escalation paths for stalled projects, including criteria for pausing or terminating initiatives based on ROI and resource constraints.
- Integrating improvement tracking into existing ERP or BPM systems rather than maintaining parallel reporting tools.
- Designing recognition systems that reward process behavior and team collaboration, not just outcome metrics, to sustain engagement.
- Managing resistance from middle management by aligning CI goals with departmental objectives and performance evaluations.
Module 4: Leading Kaizen Events and Facilitation Techniques
- Selecting Kaizen topics based on impact-feasibility trade-offs, avoiding events that require cross-divisional approvals beyond team authority.
- Preparing pre-event data packages that include process maps, defect logs, and cycle time data to reduce discovery time during the event.
- Facilitating cross-functional teams with conflicting priorities, enforcing time-boxed decision rules and consensus techniques.
- Documenting standardized work outputs with visual controls that operators can interpret without facilitator support.
- Assigning post-event sustainment owners and scheduling follow-up audits within 30, 60, and 90 days.
- Managing scope during events by deferring systemic issues to longer-term projects while capturing them in a backlog.
Module 5: Agile Principles in Project and Process Improvement
- Decomposing large-scale process redesigns into iterative sprints with deliverable outputs at the end of each cycle.
- Using backlog grooming to prioritize improvement ideas based on effort, impact, and strategic alignment, revising quarterly.
- Conducting sprint reviews with process owners to validate changes and adjust scope based on operational feedback.
- Applying daily stand-ups for improvement teams to surface blockers, particularly when dependencies span multiple departments.
- Choosing between Scrum and Kanban based on workflow predictability and interruption frequency in the target process.
- Measuring sprint velocity in process improvement contexts using completed experiments or validated changes, not story points.
Module 6: Integration of Lean, Six Sigma, and Agile Frameworks
- Mapping DMAIC phases to Agile sprints, aligning Define and Measure with discovery sprints, and Improve with implementation cycles.
- Using Lean tools (5S, SMED) as backlog items within Agile improvement programs to maintain focus on foundational stability.
- Resolving conflicts between Six Sigma’s data-driven rigor and Agile’s iterative experimentation by defining minimum evidence thresholds.
- Coordinating portfolio management across Lean, Six Sigma, and Agile initiatives to prevent duplication and resource contention.
- Training Black Belts and Scrum Masters in each other’s methodologies to improve cross-methodology communication and planning.
- Designing hybrid governance boards that review both project milestones and process performance metrics in a single forum.
Module 7: Change Management and Organizational Adoption
- Conducting stakeholder analyses to identify formal and informal influencers who can accelerate or block adoption.
- Developing communication plans that vary messaging by audience—executives, managers, frontline—based on their decision-making role.
- Integrating new processes into training curricula and onboarding programs to institutionalize changes.
- Using process audits not for compliance enforcement but as coaching opportunities to reinforce desired behaviors.
- Addressing skill gaps by pairing experienced practitioners with novices in improvement teams, creating internal capability.
- Monitoring adoption through leading indicators (e.g., participation rates, idea submissions) rather than lagging performance data alone.
Module 8: Performance Measurement and Sustaining Gains
- Designing balanced scorecards that include process, customer, financial, and learning metrics for improvement initiatives.
- Setting realistic performance targets based on process capability studies, avoiding arbitrary stretch goals that undermine credibility.
- Automating data collection for key process indicators to reduce manual reporting and increase timeliness.
- Conducting periodic process health checks to detect regression in standardized work adherence and cycle time performance.
- Updating control plans when systems, suppliers, or regulations change, ensuring controls remain relevant.
- Rotating audit responsibilities across teams to build ownership and reduce reliance on central QA functions.
