Applying Metrics for Predictability

Language:
English
Guaranteed To Run:
No
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May 26
7:00 am
3:00 pm
TIMEZONE
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May 27
7:00 am
3:00 pm
TIMEZONE
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TIMEZONE
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TIMEZONE
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TIMEZONE
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Munich, Bavaria, DE

Applying Metrics for Predictability in Munich

"When will it be done?" One of the all-time favorite questions that customers and stakeholders ask, followed closely by "How many items will you be able to deliver in the next Sprint?". The answers we have tried (unsuccessfully): "It depends" and "We are working agile and it takes as long as it takes" don't see to work so well, do they?

In this hands-on workshop we will use flow metrics to get to better answers that actually help our customers to in their own planning. We will use the power of the Kanban system to make our process more predictable and deliver value sooner. And we will learn how to quantify and manage the risk involved of making predictions in an inherently unpredictable environment.


Target Audience

Anyone who gets asked to make predictions in a complex environment and wants to increase predictability and efficiency in their process, like Product Owners, Scrum Masters, project managers, or Developers.


Topics

  • Forecasting Principles: an introduction to the role that uncertainty plays when making forecasts and some techniques to use to mitigate its impact
  • Flow Metrics: a deep dive into WIP, Cycle Time, and Throughput—including why you need to track them, how they are related through Little’s Law, and why they are important for forecasting
  • Flow Analytics: an introduction to Cumulative Flow Diagrams (CFDs), Scatterplots, Histograms, and other supporting charts—including a detailed discussion of what they are, how to generate them correctly, and how to utilize them for better predictability
  • Forecasting Using Monte Carlo Simulation: how to use flow metrics to answer “When will it be done?”—including an introduction to Monte Carlo Simulation and statistical sampling methods for forecasting (no advanced mathematics required!)
  • Quantifying Risk and Risk Management: how an understanding of risk is crucial to developing accurate forecasts—including how to quantify risk in the different analytics’ charts and how changing forecast inputs can help to develop an overall risk profile
  • How to Get Started: how to immediately apply these techniques to your current project or process to achieve the results you are looking for—including what data to collect, how to mine your data, and how much data you need to begin

Learning Objectives

  • Capture and use flow metrics to increase predictability
  • Forecast single and multiple items accurately
  • Communicate delivery risk
  • Implement a stable and predictable delivery process
Register

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