Actionable Agile Metrics for Predictability
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Actionable Agile Metrics for Predictability

An Introduction

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)

About the Author

Daniel Vacanti
Daniel S. Vacanti

Daniel Vacanti is a 20-year software industry veteran who got his start as a Java Developer/Architect and who has spent most of the last 15 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 ActionableAgile™ which provides industry leading predictive analytics tools and services to any Lean-Agile 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.

Daniel S. Vacanti

Episode 235

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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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