“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.

This is a live virtual course led by Kimberley Forde. This course is delivered in 5 sessions of 2 hours each (5:30PM to 7:30PM AST/EST) over 2 weeks:

• Monday, November 27th, 2023 from 5:30 PM AST to 7:30 PM AST

• Wednesday, November 29th, 2023 from 5:30 PM AST to 7:30 PM AST

• Monday, December 4th, 2023 from 5:30 PM AST to 7:30 PM AST

• Wednesday, December 6th, 2023 from 5:30 PM AST to 7:30 PM AST

• Monday, December 11th, 2023 from 5:30 PM AST to 7:30 PM AST (OPTIONAL)

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. Typical attendee roles include:

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.

Who is your Trainer?

Kimberley Forde is a professional success coach & trainer from Barbados, who specializes in leadership, team development, goal achievement & agile ways of working. She has worked with organizations implementing transformational initiatives across the world in areas such as FinTech, CBDC, Banking, Media, E-Commerce and Education.

As a collaborative solution-focused coach; she provides support, training and practical feedback. This empowers clients to effectively address challenges, build on their strengths and achieve success.

Cancellation

Student substitutions or postponements for classes are accepted at any time. Student cancellations must be made via email at training@stragilitymatrix.com

Refunds for student cancellations may be available as follows:

• Cancellation received more than 21 days prior to the first day of class = 100% refund of course fee less transaction fees.

• Cancellation received more than 5 days prior to the first day of class = 50% refund of course fee less transaction fees.

• Cancellation received less than 5 days prior to the first day of class = no refund provided.

Should a postponement or cancellation occur, you'll be notified no later than 5 days prior to class. Please reach out with any questions.