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Process Optimization in Introduction to Operational Excellence & Value Proposition

$249.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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Course access is prepared after purchase and delivered via email
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This curriculum spans the design and implementation of organization-wide process optimization initiatives, comparable to multi-phase advisory engagements that integrate governance, cross-functional workflow redesign, and enterprise system alignment.

Module 1: Foundations of Operational Excellence

  • Selecting and aligning a maturity model (e.g., Lean, Six Sigma, TQM) based on organizational readiness and industry benchmarks
  • Defining operational excellence goals that integrate with enterprise strategy, avoiding siloed improvement initiatives
  • Establishing cross-functional steering committees with clear decision rights for prioritizing improvement projects
  • Mapping stakeholder expectations across operations, finance, and customer experience to identify conflicting priorities
  • Documenting baseline performance using existing operational data to prevent subjective assessments of improvement
  • Implementing a standardized language for process terminology to reduce ambiguity in cross-departmental communication

Module 2: Value Stream Mapping and Process Analysis

  • Conducting current-state value stream mapping with frontline operators to capture actual workflow, not idealized versions
  • Identifying non-value-added steps in service or production processes using time-motion studies and transaction logs
  • Deciding which processes to map first based on volume, cost impact, and customer pain points
  • Resolving discrepancies between documented SOPs and actual practice observed during process walkthroughs
  • Using swimlane diagrams to expose handoff delays and accountability gaps between departments
  • Validating process cycle times with system timestamps rather than self-reported durations

Module 3: Performance Measurement and KPI Design

  • Selecting leading versus lagging indicators based on the need for predictive control versus retrospective analysis
  • Aligning KPIs across levels (operational, tactical, strategic) to prevent misaligned incentives
  • Defining data ownership and collection methods for each KPI to ensure consistency and auditability
  • Setting realistic performance targets using historical baselines and capability analysis, not arbitrary stretch goals
  • Designing dashboard layouts that minimize cognitive load while highlighting critical deviations
  • Managing resistance to transparency by involving process owners in KPI selection and calibration

Module 4: Root Cause Analysis and Problem Solving

  • Choosing between 5 Whys, Fishbone, and Failure Mode Analysis based on problem complexity and data availability
  • Facilitating cross-functional root cause sessions without assigning blame to maintain psychological safety
  • Validating suspected root causes with controlled experiments or data segmentation before implementing fixes
  • Documenting assumptions made during analysis to enable future challenge and refinement
  • Integrating RCA outputs into corrective action tracking systems with ownership and deadlines
  • Escalating systemic issues to governance bodies when root causes extend beyond process-level fixes

Module 5: Process Redesign and Workflow Automation

  • Evaluating automation feasibility by assessing task frequency, rule complexity, and exception rate
  • Redesigning processes for standardization before applying robotic process automation (RPA) to avoid automating waste
  • Coordinating with IT architecture teams to ensure new workflows comply with security and integration standards
  • Managing change in job roles when automation reduces manual intervention requirements
  • Conducting pilot tests of redesigned processes in production-like environments before full rollout
  • Negotiating handoff protocols between automated systems and human operators for exception handling

Module 6: Change Management and Sustaining Improvements

  • Identifying informal influencers in operational teams to co-lead adoption efforts alongside formal leaders
  • Developing role-specific training materials that reflect updated workflows, not generic system overviews
  • Embedding process adherence checks into daily team huddles or shift handovers for continuous reinforcement
  • Updating performance management systems to reward behaviors that support new processes
  • Creating process guardianship roles with time allocation and accountability for monitoring compliance
  • Conducting periodic process audits to detect regression and trigger re-engagement activities

Module 7: Governance and Continuous Improvement Infrastructure

  • Designing a tiered review cadence (daily, weekly, monthly) that matches the decision-making needs of each level
  • Standardizing project intake and prioritization criteria to prevent ad hoc improvement requests
  • Allocating dedicated FTEs to improvement teams, balancing operational coverage and project capacity
  • Integrating improvement project tracking with enterprise portfolio management tools for visibility
  • Establishing escalation paths for resolving cross-departmental bottlenecks in improvement execution
  • Rotating team members through improvement roles to build organizational capability without creating silos

Module 8: Integration with Enterprise Systems and Strategy

  • Aligning process KPIs with ERP or CRM system capabilities to ensure data feasibility and accuracy
  • Coordinating process changes with scheduled system upgrades to minimize rework and downtime
  • Mapping process improvements to financial outcomes for inclusion in business case reviews
  • Engaging procurement and legal teams early when redesign affects vendor contracts or SLAs
  • Translating operational metrics into executive dashboards that reflect strategic objectives
  • Updating risk registers to reflect new controls or failure points introduced by process changes