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)

Translations

About the Author

Daniel Vacanti
Daniel S. Vacanti

Daniel Vacanti is a 25-plus year software industry veteran who has spent most of his career focusing on Lean and Agile practices. In 2007, he helped to develop the Kanban as a strategy for knowledge work and managed the world’s first project implementation using Kanban that year. He has been conducting Lean-Agile training, coaching, and consulting ever since. In 2013 he founded ActionableAgileTM which provides industry-leading predictive analytics tools and services organizations that utilize Lean-Agile practices. In 2014 he published his book, “Actionable Agile Metrics for Predictability”, which is the definitive guide to flow-based metrics and analytics. In 2017, he helped to develop the “Professional Scrum with Kanban” class with Scrum.org and in 2018 he published his second book, “When Will It Be Done?”. Most recently, Daniel co-founded ProKanban.org whose aim is to create a safe, diverse, inclusive community to learn about Kanban.

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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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