Publications

Actionable Agile Metrics for Predictability

by Daniel S. Vacanti

Actionable Agile Metrics for Predictability represents the definitive guide to using the metrics of flow for predictable Lean-Agile processes. Never before has such a comprehensive manual been published that defines the metrics and their corresponding analytics needed to achieve the predictability that your customers expect.

Download an exerpt that includes both a free chapter and the Table of Contents for the whole book: Chapter 13 – Pull Policies

Topics Include:

  • Why managing flow is the best strategy for predictability
  • An introduction to and definition of the basic metrics of flow
  • An introduction to Little’s Law and its importance for predictability
  • Visualization and analysis of flow using a Cumulative Flow Diagram
  • How a Cumulative Flow Diagram can drive predictability
  • How to visualize Cycle Time data in a Scatterplot
  • How a Cycle Time Scatterplot can drive predictability
  • How to use Service Level Agreements to improve predictability
  • The real story behind Classes of Service and their negative impact on predictability
  • An introduction to how to use flow metrics with various forecasting methods
  • A fully documented real-world case study
  • A guide on how to get started and what to watch out for



When Will It Be Done?

Lean-Agile Forecasting To Answer Your Customers' Most Important Question

by Daniel S. Vacanti

If you have ever been asked When Will It Be Done? then you have been asked to make a forecast. My guess is that when you were asked that question, you struggled mightily to answer it. You struggled because there are so many possible things that could go wrong (and go right) when trying to forecast the completion date of an item. I am even going to guess that whatever prediction you made ended up being wrong. The fact that you were wrong was not because you were incompetent, or because you did not try hard enough. You were wrong because we think about forecasts incorrectly. This book clears up that confusion and will give you all the tools you need in order to make accurate forecasts. Your customers demand predictability from you, and you demand predictability from your teams. Isn’t it time you started to deliver on your promises?

Videos and Other Resources

Kanban at Siemens Health Services

This case study remains the largest and most complex Kanban implementation to date (at least at the time of its writing).

Actionable Agile Metrics at Siemens Health Services

Here is another form of the Siemens HS case study, this time written explicitly from the perspective of actionable metrics.

Actionable Agile Metrics for Predictability

Enjoy this video from LKCE 2015. Daniel gives an overview of why Cycle Time is a key metric to monitor as well as some different thoughts in terms of how to think about Cycle Time.

Actionable Agile Metrics at Siemens Health Services

The presentation for the two Siemens HS case studies above. This talk was taken from the LKCE 2013 conference.

Some Early Thoughts on Little’s Law

Enjoy this video from LKCE 2012. Chapter 3 of Actionable Agile Metrics for Predictability evolved from some of Daniel’s thoughts that he shares here.