Applying metrics for predictability (AMP)

“When is it over?” “How many elements will be completed in the next version of my software?” When will all the elements of the backlog finished? “These are some of the first questions your customers will ask you as soon as you start working for them.

This practical workshop will give you the tools to answer these questions predictably in this training, participants will learn the necessary measures to establish a reliable forecast, how to visualize these measures in appropriate analyses, how to use these analyses to make reliable forecasts and understand the risks and, finally, how to do interventions significantly to improve the overall process.

Content:

• Flow metrics: a deep dive into the WIP, cycle time and flow, including why you need to follow them, how they are linked by Little law and why they are essential for forecasting.
• Flow analysis: an introduction to cumulative flow diagrams (CFD), dispersion diagrams, histograms and other support graphs, including a detailed discussion on their nature, how to generate them correctly, and how to use them for better predictability.
• Forecast using Monte Carlo simulation: how to use flow measures to answer the question “when it is over?”-including an introduction to the simulation of Monte Carlo and Statistical sampling methods for forecast (without advanced mathematics!).
• Risk quantification and risk management: understanding the risk to develop reliable forecasts – including how to quantify the risk in the various analysis graphs and change forecast data can help build a global risk profile.
• How to start: immediately apply these techniques to your current project or process to obtain the expected results, including the data to collect, how to use your data and the amount of data you need to start. “