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Actionable Agile Metrics for Predictability

An Introduction

This the old edition of this book. Please make sure to purchase the new edition at: https://leanpub.com/aamfp-10th.

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About

About

About the Book

“When will it be done?”

That is probably the first question your customers ask you once you start working on something for them.  Think about how many times you have been asked that question.  How many times have you ever actually been right?

We can debate all we want whether this is a fair question to ask given the tremendous amount of uncertainty in knowledge work, but the truth of the matter is that our customers are going to inquire about completion time whether we like it or not.  Which means we need to come up with an accurate way to answer them.  The problem is that the forecasting tools that we currently utilize have made us ill-equipped to provide accurate answers to reasonable customer questions. 

Until now.

(You can also find out more at https://www.actionableagile.com)

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Author

About the Author

Daniel S. Vacanti

Daniel Vacanti has spent most of the last 20 years focusing on Lean and Agile practices.  In 2007, he helped to develop the Kanban Method for knowledge work.  He managed the world’s first project implementation of Kanban that year, and has been conducting Kanban training, coaching, and consulting ever since.  In 2011 he founded Corporate Kanban, Inc., which provides world-class Lean training and consulting to clients all over the globe—including several Fortune 100 companies.  In 2013 he founded ActionableAgileTM which provides industry leading predictive analytics tools and services to any flow-based process. Daniel holds a Masters in Business Administration and regularly teaches a class on lean principles for software management at the University of California Berkeley.

Leanpub Podcast

Episode 278

An Interview with Daniel Vacanti

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Contents

Table of Contents

Preface

PART ONE - FLOW FOR PREDICTABILITY

Chapter 1 - Flow, Flow Metrics, and Predictability

Chapter 2 - The Basic Metrics of Flow

Chapter 3 - Introduction to Little’s Law

PART TWO - CUMULATIVE FLOW DIAGRAMS FOR PREDICTABILITY

Chapter 4 - Introduction to CFDs

Chapter 5 - Flow Metrics and CFDs

Chapter 6 - Interpreting CFDs

Chapter 7 - Conservation of Flow Part I

Chapter 8 - Conservation of Flow Part II

Chapter 9 - Flow Debt

PART THREE - CYCLE TIME SCATTERPLOTS FOR PREDICTABILITY

Chapter 10 - Introduction to Cycle Time Scatterplots

Chapter 10a - Cycle Time Histograms

Chapter 11 - Interpreting Cycle Time Scatterplots

Chapter 12 - Service Level Agreements

PART FOUR - PUTTING IT ALL TOGETHER FOR PREDICTABILITY

Chapter 13 - Pull Policies

Chapter 14 - Introduction to Forecasting

Chapter 15 - Monte Carlo Method Introduction

Chapter 16 - Getting Started

PART FIVE - A CASE STUDY FOR PREDICTABILITY

Chapter 17 - Actionable Agile Metrics at Siemens HS

Acknowledgements

Bibliography

About the Author

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