- Subject index
Everything you need to implement school change that gets results! If you’ve been wondering how to effectively lead and manage results-driven, system-wide implementations, look no further. Internationally recognized education expert Michael Barber explores exactly how to translate policy into practice for long-term, measurable results. Building on his groundbreaking book, Deliverology 101, Barber provides proven methods and clear steps to achieve successful policy implementation and offer practical solutions for reviving stalled reform efforts. New cases studies and embedded links help you develop a delivery “skillset” for building capacity, effective coalitions, and a coherent, flexible plan for implementation. Leaders and staff at both national and local levels will learn to: • Establish a Delivery Unit to set clear, measureable goals and build a reform coalition • Understand delivery through data analysis and strategic progress monitoring • Plan for delivery with explicit, day-to-day implementation planning updated with proven methods from years of practice • Drive delivery with progress monitoring, momentum building, and course corrections • Create an irreversible delivery culture by identifying and addressing challenges as they occur Don’t leave your education policy implementation to chance. Use this new field guide to get your implementation on the right track today!
Chapter 3B: Draw the Delivery Chain
Draw the Delivery Chain
System Leader Summary
The delivery chain is the set of actors (people or organizations), and the relationships between them, through which a given strategy in your delivery plan will be implemented. The tools in this chapter will help you answer the question at the heart of the delivery chain: starting with your strategic intent and ending with changes in practice at the front line, how—and through whom—does your strategy actually happen?
Drawing the delivery chain is critical to delivery planning: it lays out your assumptions about how each strategy will impact the field at scale, it helps you probe those assumptions for risks and weaknesses, and it allows you to test them regularly through the development of feedback loops ...