Description

This curriculum spans the full lifecycle of process redesign—from strategic selection and as-is analysis to technology integration and governance—mirroring the structure of multi-phase operational improvement programs seen in large-scale organizational transformations.

Module 1: Strategic Alignment and Process Selection

Conducting a value-stream analysis to identify high-impact processes based on cost, cycle time, and customer impact metrics.
Securing executive sponsorship by aligning process redesign initiatives with corporate strategic objectives such as digital transformation or cost optimization.
Establishing selection criteria to prioritize processes for redesign, including frequency of execution, error rates, and regulatory exposure.
Mapping stakeholder influence and resistance using power-interest grids to anticipate organizational pushback.
Defining success metrics upfront, such as reduction in process cycle time or FTE savings, to guide redesign scope.
Deciding whether to redesign core operational processes or support functions based on scalability and integration dependencies.

Module 2: As-Is Process Documentation and Analysis

Selecting process discovery techniques—direct observation, workflow mining, or employee interviews—based on data availability and process complexity.
Standardizing notation using BPMN 2.0 to ensure consistency and clarity in process maps across departments.
Validating as-is process models with frontline staff to correct inaccuracies and capture undocumented workarounds.
Identifying redundant steps, such as duplicate approvals or manual data re-entry, that contribute to process drag.
Quantifying non-value-added time using time-motion studies to build the business case for change.
Documenting exception paths and edge cases that are often omitted but critical for system design.

Module 3: Process Performance Benchmarking

Selecting industry benchmarks from reliable sources such as APQC or Gartner, ensuring comparability in scope and maturity.
Adjusting benchmark data for organizational size, geography, and regulatory environment to avoid misleading comparisons.
Conducting internal benchmarking across business units to identify pockets of excellence and variation.
Using benchmarking results to set realistic yet ambitious performance targets for redesigned processes.
Deciding whether to adopt best-in-class practices or adapt them based on operational constraints and risk appetite.
Documenting assumptions and limitations in benchmark data to prevent overgeneralization during stakeholder discussions.

Module 4: To-Be Process Design and Innovation

Applying the SIPOC framework to redefine supplier, input, process, output, and customer relationships in the new design.
Deciding where to automate using RPA versus redesigning the process logic to eliminate the need for automation altogether.
Integrating customer journey insights to eliminate handoffs and reduce response times in service delivery.
Designing parallel workflows to reduce bottlenecks, while managing increased coordination complexity.
Selecting decision rules for escalation paths and exception handling to maintain control without creating delays.
Ensuring compliance requirements are embedded in the process design rather than treated as afterthoughts.

Module 5: Technology Enablement and System Integration

Evaluating whether to use existing BPM platforms or invest in new workflow automation tools based on total cost of ownership.
Mapping process data requirements to ERP or CRM systems to ensure seamless integration and data consistency.
Defining API contracts between process automation tools and legacy systems to minimize custom coding.
Designing user interfaces for process participants to reduce training time and input errors.
Implementing logging and audit trails to support regulatory reporting and troubleshooting.
Planning for data migration from old to new systems, including validation rules and fallback procedures.

Module 6: Change Management and Organizational Adoption

Developing role-specific training materials based on actual process changes, not generic system overviews.
Identifying change champions within departments to model new behaviors and address peer concerns.
Phasing rollout by business unit or geography to manage risk and incorporate early feedback.
Adjusting performance incentives and KPIs to align with redesigned process outcomes.
Monitoring user adoption through login frequency, task completion rates, and support tickets.
Managing resistance from middle management by clarifying new decision rights and supervision mechanisms.

Module 7: Performance Monitoring and Continuous Improvement

Configuring dashboards to track key process indicators such as cycle time, error rate, and cost per transaction.
Establishing service level agreements (SLAs) for process handoffs between departments or teams.
Conducting periodic process audits to detect drift from the designed workflow and identify new inefficiencies.
Using root cause analysis (e.g., 5 Whys or fishbone diagrams) to address recurring process failures.
Creating feedback loops from customers and employees to inform iterative improvements.
Deciding when to trigger a new redesign cycle based on performance thresholds or strategic shifts.

Module 8: Governance and Scalability Planning

Forming a process governance council with cross-functional representation to oversee standards and prioritization.
Developing a process repository with version control to maintain up-to-date documentation and ownership.
Standardizing naming conventions and modeling rules to ensure consistency across process assets.
Assessing the scalability of redesigned processes when expanding to new regions or product lines.
Allocating budget and resources for ongoing process management, not just initial redesign efforts.
Integrating process KPIs into enterprise performance management systems for executive visibility.