Description

This curriculum spans the full lifecycle of aligning business process redesign with strategic objectives, comparable in scope to a multi-phase organisational transformation program involving cross-functional governance, system integration, change management, and performance monitoring across diverse operational contexts.

Module 1: Defining Strategic Objectives and Process Scope

Decide whether to align process redesign with corporate strategy, functional goals, or regulatory mandates—each requiring different stakeholder engagement and success metrics.
Select core versus support processes for redesign based on their impact on strategic KPIs such as time-to-market, cost-to-serve, or customer retention.
Negotiate scope boundaries with business unit leaders who may resist changes perceived as threats to operational autonomy.
Determine whether to adopt a top-down (strategy-driven) or bottom-up (pain-point-driven) approach based on organizational readiness and executive sponsorship.
Assess the feasibility of incremental improvements versus end-to-end transformation given existing system dependencies and resource constraints.
Document strategic alignment criteria in a process charter to guide prioritization and prevent scope creep during execution.

Module 2: Stakeholder Analysis and Governance Design

Map decision rights across functions to identify who must approve process changes, particularly in matrixed or decentralized organizations.
Establish a governance council with representation from legal, compliance, IT, and operations to review high-impact process changes.
Resolve conflicts between process efficiency goals and functional performance incentives that may disincentivize cross-functional cooperation.
Design escalation paths for unresolved process disputes, including thresholds for executive intervention.
Define roles in the RACI matrix for process owners, data stewards, and system custodians to clarify accountability post-redesign.
Integrate feedback loops from frontline staff into governance to maintain operational realism in redesigned workflows.

Module 3: Current State Assessment and Performance Baseline

Choose data collection methods (e.g., system logs, time-motion studies, or ERP audit trails) based on data availability and process complexity.
Quantify cycle time, error rates, and rework loops for key subprocesses to establish defensible performance baselines.
Identify shadow processes or workarounds used by employees to bypass inefficient official procedures.
Validate process maps with operational staff to correct inaccuracies that arise from relying solely on documentation.
Assess variation in process execution across regions or business units to determine standardization feasibility.
Use control charts or process mining tools to distinguish common-cause from special-cause variation before redesign.

Module 4: Future State Design and Technology Integration

Select between workflow automation, robotic process automation (RPA), or full system replacement based on process volume, variability, and integration needs.
Design exception handling paths in automated workflows to prevent system deadlock when edge cases occur.
Decide whether to modify existing ERP configurations or build standalone solutions, weighing long-term maintenance costs.
Integrate human judgment points in automated processes for decisions requiring contextual interpretation.
Align data capture requirements in redesigned processes with enterprise data governance standards to ensure downstream usability.
Prototype high-risk process changes in a sandbox environment before full deployment to test integration points and user acceptance.

Module 5: Change Management and Organizational Adoption

Identify informal influencers in workgroups to champion process changes and counter resistance rooted in routine or expertise erosion.
Develop role-specific training materials that reflect actual system interfaces and decision points, not abstract workflows.
Time process rollouts to avoid peak operational periods that increase error rates and reduce user patience.
Modify performance management systems to reward behaviors aligned with redesigned processes, not legacy metrics.
Deploy super-users in high-impact departments to provide real-time support during the transition phase.
Monitor helpdesk tickets and support queries to identify recurring confusion points in the new process design.

Module 6: Performance Measurement and KPI Framework

Select lagging indicators (e.g., cost per transaction) and leading indicators (e.g., compliance with process steps) to monitor different aspects of success.
Set realistic improvement targets by benchmarking against industry peers or internal best-in-class units.
Calibrate measurement frequency—daily, weekly, or monthly—based on process criticality and data system capabilities.
Address gaming of metrics by designing KPIs that balance efficiency with quality and compliance.
Link process performance data to financial outcomes, such as reduced working capital or lower exception handling costs.
Automate KPI reporting through dashboards integrated with operational systems to reduce manual tracking effort.

Module 7: Sustaining Improvements and Continuous Optimization

Institutionalize periodic process reviews (e.g., quarterly) to reassess alignment with evolving strategic priorities.
Assign ownership of process KPIs to operational managers to ensure accountability beyond the initial rollout.
Establish a backlog of process improvement ideas sourced from employees, audits, and customer feedback.
Conduct root cause analysis on recurring process failures using techniques like 5 Whys or fishbone diagrams.
Update process documentation in real time to reflect changes, avoiding divergence between official and actual practices.
Rotate process audit responsibilities across departments to maintain objectivity and spread process knowledge.