Implementing product development flow requires a fundamental shift in the way organizations approach product development. Here are some best practices to help you get started:
The problem is that manufacturing deals with repetitive, predictable activities where variability is the enemy. Product development, however, is about creating knowledge and managing uncertainty. Eliminating variability in this context does not improve quality; it eliminates innovation.
Why it matters
Uncertainty is a defining characteristic of product innovation. The only way to combat uncertainty is through rapid experimentation and feedback.
The principles described in this book are not theoretical. Reinertsen cites organizations achieving in product development performance by moving from a batch-oriented, high-utilization model to a flow-oriented, economically-driven system. The path to achieving these results involves a fundamental mindshift: stop treating your backlog as an asset and start treating queues as liabilities. Eliminating variability in this context does not improve
Smaller batches move faster and allow for faster feedback. By reducing batch sizes (e.g., smaller feature sets, smaller releases), teams reduce risk and decrease the "time to market." , such as cycle time and throughput, should be monitored to ensure efficiency [2]. 4. Make Policies Explicit
The response was overwhelming, with teams clamoring for the exclusive opportunity to learn from Alex's experience. The company's leadership took notice and decided to make the principles of product development flow a core part of their development process. The principles described in this book are not theoretical
The benefits of product development flow are numerous. Some of the most significant advantages include:
| | Focus | | :--- | :--- | | 1. The Principles of Flow | Understanding the core problem, the need for a new approach, and relevant idea sources. | | 2. The Economic View | Measuring the cost of delay, moving from proxies to economics, and balancing trade-offs. | | 3. Managing Queues | Applying queueing theory to development, managing invisible inventory, and reducing wait times. | | 4. Exploiting Variability | Recognizing that variability is a source of innovation, not waste to be eliminated. | | 5. Reducing Batch Size | Understanding the transaction cost vs. holding cost trade-off to find optimal batch sizes. | | 6. Applying WIP Constraints | Using work-in-process limits to control queue size and reduce cycle time. | | 7. Controlling Flow Under Uncertainty | Using cadence, synchronization, and managing flow in high-variability networks. | | 8. Using Fast Feedback | Designing control systems for rapid feedback, and measuring for flow-based development. | | 9. Achieving Decentralized Control | Balancing centralization and decentralization, aligning teams through economic incentives. | and managing flow in high-variability networks.
Operating on a predictable, regular rhythm (such as two-week sprints) reduces the transaction costs of planning and coordination. It builds predictability into an inherently unpredictable process.