What does the Process Redesign in Excellence Metrics and Performance course cover?
Process Redesign in Excellence Metrics and Performance is covered here in 8 modules: Assessing Current-State Process Performance, Establishing Excellence Metrics and Target Setting, Root Cause Analysis and Diagnostic Techniques and 5 more. The outline lists 48 specific topics, opening with conduct time-motion studies to quantify cycle times, handoffs, and idle periods across functional boundaries.
How do you approach Process Redesign in Excellence Metrics and Performance step by step?
The work is sequenced in 8 stages. It starts with Assessing Current-State Process Performance, moves through Establishing Excellence Metrics and Target Setting and Root Cause Analysis and Diagnostic Techniques, and ends at Governance, Risk, and Compliance Alignment. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Process Redesign in Excellence Metrics and Performance course?
Module 1 is Assessing Current-State Process Performance. It works through conduct time-motion studies to quantify cycle times, handoffs, and idle periods across functional boundaries., select and validate baseline KPIs (e.g., throughput, error rate, rework frequency) in collaboration with process owners., map as-is workflows using BPMN 2.0 notation to identify redundant steps, approval bottlenecks, and non-value-added activities. and 3 more.
How is the Process Redesign in Excellence Metrics and Performance course delivered?
The Process Redesign in Excellence Metrics and Performance course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Process Redesign in Excellence Metrics and Performance course cost?
The Process Redesign in Excellence Metrics and Performance course is $251 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Process Streamlining in Business Process Redesign, Streamlined Processes in Business Process Redesign, Streamline Processes in Business Process Redesign, Metrics Tracking in Business Process Redesign.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the full lifecycle of process redesign—from diagnosing performance gaps and setting metrics to implementing automation, managing change, and aligning with governance—mirroring the structure and rigor of multi-phase operational improvement programs seen in large-scale internal transformation initiatives.
Module 1: Assessing Current-State Process Performance
- Conduct time-motion studies to quantify cycle times, handoffs, and idle periods across functional boundaries.
- Select and validate baseline KPIs (e.g., throughput, error rate, rework frequency) in collaboration with process owners.
- Map as-is workflows using BPMN 2.0 notation to identify redundant steps, approval bottlenecks, and non-value-added activities.
- Integrate data from ERP, CRM, and operational logs to reconcile discrepancies in reported performance metrics.
- Facilitate cross-functional workshops to document pain points, including root causes of delays and exceptions.
- Define process scope and boundaries to prevent analysis paralysis in complex, interdepartmental workflows.
Module 2: Establishing Excellence Metrics and Target Setting
- Align performance indicators with strategic objectives using a balanced scorecard framework across financial, customer, internal process, and learning dimensions.
- Differentiate between leading indicators (e.g., first-pass yield) and lagging indicators (e.g., customer satisfaction scores) in metric selection.
- Negotiate stretch targets with stakeholders while accounting for historical performance trends and resource constraints.
- Implement SMART criteria to define measurable, achievable, and time-bound improvement goals.
- Design normalized metrics to enable benchmarking across business units with varying scales and volumes.
- Address metric gaming risks by incorporating counter-metrics and audit trails into performance dashboards.
Module 3: Root Cause Analysis and Diagnostic Techniques
- Apply the 5 Whys and fishbone diagrams to isolate systemic causes behind recurring process failures.
- Use Pareto analysis to prioritize defect categories consuming the majority of rework effort.
- Conduct failure mode and effects analysis (FMEA) to score process steps by severity, occurrence, and detectability.
- Validate hypotheses with statistical process control (SPC) charts to distinguish common cause from special cause variation.
- Integrate voice-of-customer (VoC) feedback into defect categorization to align improvements with user expectations.
- Document root cause findings in a centralized repository to prevent redundant investigations across projects.
Module 4: Designing Future-State Processes
- Redesign workflows using the SIPOC model to clarify suppliers, inputs, process steps, outputs, and customers.
- Apply lean principles to eliminate muda (waste) in transportation, inventory, motion, waiting, overproduction, overprocessing, and defects.
- Consolidate approval layers by implementing RACI matrices to redefine accountability and reduce handoff delays.
- Introduce parallel processing paths where sequential steps can be safely decoupled without compromising quality.
- Design exception handling protocols to manage edge cases without reverting to ad hoc interventions.
- Simulate future-state performance using discrete-event modeling to forecast throughput and resource utilization.
Module 5: Technology Enablement and Automation Integration
- Evaluate robotic process automation (RPA) feasibility by assessing rule-based, high-volume, low-exception tasks for bot deployment.
- Integrate workflow engines with legacy systems via APIs or middleware while managing data consistency and latency.
- Configure business rules in low-code platforms to allow non-technical users to update logic without code changes.
- Implement digital forms with validation rules to reduce input errors and ensure data completeness at capture points.
- Design role-based access controls in process management systems to enforce segregation of duties and compliance.
- Establish monitoring for automated workflows to detect failures, performance degradation, or data anomalies in real time.
Module 6: Change Management and Organizational Adoption
- Identify key influencers and change champions in each department to advocate for new process behaviors.
- Develop role-specific training materials that reflect actual job tasks and system interfaces.
- Roll out changes in phases using pilot groups to test process stability and gather early feedback.
- Modify incentive structures to reward adherence to redesigned workflows and achievement of new metrics.
- Address resistance by co-creating solutions with impacted teams and documenting resolved concerns.
- Conduct post-implementation reviews to capture lessons learned and adjust rollout approaches for subsequent phases.
Module 7: Sustaining Performance and Continuous Improvement
- Embed regular process review meetings into operational calendars to assess KPI trends and trigger corrective actions.
- Standardize work instructions and maintain version-controlled documentation accessible to all users.
- Deploy dashboards with real-time alerts to notify supervisors of metric deviations beyond control limits.
- Institutionalize kaizen events to engage frontline staff in identifying incremental improvements quarterly.
- Conduct periodic audits to verify compliance with redesigned processes and identify regression points.
- Update process models and metrics annually to reflect changes in business strategy, regulations, or technology.
Module 8: Governance, Risk, and Compliance Alignment
- Map critical process steps to regulatory requirements (e.g., SOX, GDPR, HIPAA) to ensure control integration.
- Document control points and evidence trails for audit readiness in financial and operational reporting.
- Perform risk assessments on redesigned processes to evaluate exposure to fraud, data breaches, or service failures.
- Coordinate with internal audit to align process KPIs with control effectiveness measures.
- Implement segregation of duties in system access to prevent conflicts in high-risk transactions.
- Review third-party vendor processes for compliance when outsourcing key workflow components.