Engineering Productivity Improvement: Diagnose, Redesign, Deliver
Table of Contents
Chapter 1. Defining Engineering Productivity and the Improvement Agenda
1.1 What Engineering Productivity Means — and What It Does Not Mean
1.2 Recognizing the Symptoms of an Engineering Productivity Problem
1.3 Translating Business Objectives into Engineering Productivity Goals
1.4 Defining the Scope and Boundaries of the Improvement Effort
1.5 Engineering Productivity Improvement Project Charter and Diagnostic Checklist
Chapter 2. Establishing the Engineering Productivity Baseline
2.1 Building a Fact Base on Engineering Demand, Capacity, and Output
2.2 Analyzing Engineering Time Allocation
2.3 Measuring Cycle Time, Throughput, and Delivery Predictability
2.4 Measuring Rework, Quality, and Defect-Related Capacity Loss
2.5 Engineering Productivity Baseline Template
Chapter 3. Diagnosing Bottlenecks and Sources of Lost Capacity
3.1 Mapping the End-to-End Engineering Workflow
3.2 Identifying Queues, Waiting Time, and Approval Bottlenecks
3.3 Diagnosing Cross-Functional Handoffs
3.4 Identifying Expert and Skill Bottlenecks
3.5 Root-Cause Analysis and Bottleneck Prioritization
Chapter 4. Aligning Engineering Demand with Available Capacity
4.1 Building an Engineering Capacity and Demand Model
4.2 Making Workload and Resource Trade-offs Explicit
4.3 Prioritizing, Pausing, Simplifying, and Rescoping Engineering Work
4.4 Addressing Critical Skills and Resource Constraints
4.5 Capacity Scenario Model and Resource Rebalancing Toolkit
Chapter 5. Redesigning Engineering Workflows for Faster Cycle Times
5.1 Simplifying Requirements and Design Workflows
5.2 Redesigning Design Reviews and Technical Approvals
5.3 Accelerating Verification, Testing, and Release Processes
5.4 Streamlining Engineering Change Processes
5.5 Future-State Workflow Design and Implementation Checklist
Chapter 6. Reducing Rework and Increasing Engineering Reuse
6.1 Quantifying the Cost and Causes of Engineering Rework
6.2 Preventing Rework Through Better Upstream Definition
6.3 Increasing Reuse of Designs, Components, Code, and Specifications
6.4 Simplifying Custom and Variant Engineering
6.5 Rework and Reuse Opportunity Assessment
Chapter 7. Improving Engineering Governance, Tools, and Management Cadence
7.1 Clarifying Engineering Decision Rights and Escalation Paths
7.2 Establishing an Effective Engineering Management Cadence
7.3 Identifying Toolchain and Automation Opportunities
7.4 Designing Engineering Productivity KPIs and Dashboards
7.5 Engineering Productivity Dashboard and Governance Templates
Chapter 8. Implementing and Sustaining Productivity Improvements
8.1 Translating Diagnostic Findings into an Improvement Roadmap
8.2 Selecting and Designing Productivity Pilots
8.3 Managing Implementation and Tracking Benefits
8.4 Driving Adoption Among Engineers and Engineering Managers
8.5 Scaling Successful Changes and Sustaining Performance
Chapter 9. Working with External Advisors and Consultants
9.1 When External Support Can Accelerate Engineering Productivity Improvement
9.2 Selecting the Right Type of Engineering Productivity Advisor
9.3 Structuring the Engagement
9.4 Managing Advisors and Transferring Capability to the Internal Team
9.5 Engaging Independent Management Consultants Through Umbrex
Appendices
A.1 Glossary of Engineering Productivity Improvement Terms
A.2 Common Acronyms and Abbreviations
