Applying Metrics for Predictability

Learn about agile metrics and forecasting

Make meaningful data driven decisions, improve your ability to deliver value, and be more effective .

“When will it be done?” “How many items will I get in the next release?” “When will all of the items in the backlog be completed?” Those are some of the first questions that your customers will ask you once you start work for them. 

This hands-on workshop will provide you with the tools you need to answer those questions predictably. In this tutorial, attendees will learn what metrics are necessary for accurate forecasting, how to visualize those metrics in appropriate analytics, how to use those analytics to make reliable forecasts and understand risk, and, finally, how to make meaningful interventions for overall process improvement.

Learning Outcomes

After attending the course, learners will have::

  • An understanding of what Lean-Agile metrics are necessary for predictability
  • An ability to make accurate forecasts for single items including how to forecast when an individual story, epic, or feature will be done
  • An ability to make accurate forecasts for multiple items including how to know when all items remaining in a backlog will be done or an ability to project how many items will be completed by a given release date and the risks associated with each
  • An understanding of how to use flow metrics and analytics to achieve a stable process including an understanding of why a stable process is necessary for accurate forecasting

Who Should Attend

The Applying Metrics for Predictability course is for anyone who has been asked to answer “When Will It Be Done?” or otherwise had to give an estimate for a User Story, Epic, Feature, Project, and/or Release. This includes executives, managers, or team members who want better understanding and transparency into the health and performance of their process. Anyone who currently uses Agile or Lean Methodologies and is interested in how to improve the overall predictability and efficiency of their current practices will benefit from Applying Metrics for Predictability.

Topics

  • 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

Validated Learning

After taking the course, you will have an opportunity to validate that you understand metrics and forecasting topics. We will invite you to take an online assessment that evaluates your understanding and provides you with guidance on areas to improve.

Dates

29
NOV2021
Applying Metrics for Predictability This is a live virtual course led by Louis-Philippe Carignan. This course is delivered in 2 sessions of 8 hours each on 2 consecutive weekend days.
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9:00 am – 5:00 pm ESTLive Virtual
4
DEC2021
Applying Metrics for PredictabilityThis is a live virtual course led by Ulises Gonzalez and Guillem Hernandez. This course is delivered in one 8 hour session.
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9:00 am – 5:00 pm (UTC -5)Live Virtual
22
JAN2022
Applying Metrics for Predictability (în Limba Română)This is a live virtual course led by Ionut Grecu. This course is delivered in 5 sessions of 2.5 hours each on 5 non-consecutive days
(Jan 4, 11, 18, & 25 and Feb 3).
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3:00 pm (GMT)Live Virtual
26
JAN2022
Applying Metrics for PredictabilityThis is a live virtual course led by Julia Wester. This course is delivered in 4 sessions of 3 hours each on 4 non-consecutive days
(Jan 26 & 28 and Feb 1 & 3).
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13:00 – 16:00 pm CET (GMT +2)Live Virtual
29
APR2022
Applying Metrics for Predictability (în Limba Română)This is a live virtual course led by Ionut Grecu. This course is delivered in 5 sessions of 2.5 hours each on 5 non-consecutive days
(Apr 29 and May 6, 13, 20 & 27).
Book Now
3:00 pm (GMT)Live Virtual
14
OCT2022
Applying Metrics for Predictability (în Limba Română)This is a live virtual course led by Ionut Grecu. This course is delivered in 5 sessions of 2.5 hours each on 5 non-consecutive days
(Oct 14, 21, 28, and Feb 4 & 11).
Book Now
3:00 pm (GMT)Live Virtual