Drunk Agile

Should you collect Blocker data? If yes, how do you use it? If not, what is an alternative? #Nisha, Dan, and Prateek discuss this in the third episode recorded on the same night. #DrunkAgile tending towards #PlasteredAgile.

Nisha, Dan, and Prateek answer an audience question about #MonteCarlo and the predicted date ending on a weekend. What does this mean in terms of #risk? Does the risk change based on how far out the forecast is?

Nisha, Dan, and Prateek talk through the effect weekends have on cycle time. Why they are included and what would be the effect if we did exclude them? Note : This episode includes the use of visuals and might be better experienced on Youtube.

Nisha, Dan, and Prateek talk through the applicability of Flow Metrics in Scrum. Also, they are 'Flow Metrics', not 'Kanban Metrics'. ProKanabn.Org's new AFMS course covers this as well.

In this episode, Dan and Prateek inspect the results of Monte-Carlo forecasts for when in the season would LeBron James break Kareem Abdul-Jabbar's record. Nisha does her best airbud impression.

The last episode in the Flaw of Averages series. Nisha, Dan, and Prateek answer a distillation of multiple audience questions - What is the problem with single-point answers?

The Flaw of Averages Part II. In this sequel, Dan and Prateek take on data distributions and shapes. #Nisha calls out the bull in Weibull. It is normal for your data to not be normal.

Nisha, Dan, and Prateek discuss Dr. Sam Savage's Flaw of Averages in this episode of #DrunkAgile. Have you been thinking of the world in terms of averages? If yes, hopefully, this episode will cure that ailment.

ProKanban.org hosts Nisha, Dan, and Prateek for a live edition of Drunk Agile. In this Holiday Special, the Drunk Agile crew takes on a variety of questions from the audience.

The hosts tackle the tricky question of estimating completion timelines for new features. They delve into Monte Carlo simulations, showcasing how these can enhance project predictions. Strategies for mastering delivery timelines are discussed, including continuous forecasting and managing concurrent tasks. Caution is advised regarding oversimplified predictions, urging listeners to share their own experiences. Tune in for insights that could transform your approach to Agile project management!