Drunk Agile

Dan and Prateek take a deep-ish dive into Little's Law. They cover the theorem and the assumptions behind it and why is it important to understand them. They explain how paying attention to Little's Law and its assumptions helps create a stable, predictable system.

Dan and Prateek discuss the basic metrics of flow. WIP, Cycle Time, Throughput and an important one that you probably haven't heard of.

What does Seth Stephens-Davidowitz's 'Everybody Lies' tell us about predicting value based on customer feedback? Coke vs Facebook - Which model might work better for you? The conclusion of the Inept and Inapt series.

Dan and Prateek talk about the pitfalls of using Cost of Delay and CD3 for prioritization. They talk about Mike Ditka, Tom Brady and the NFL draft as an example of misjudgements of value. Monte Carlo simulations incorporating value are used to highlight the problems with CD3. We go all the way back to Episode 8 to find an alternative approach, ie. Right Sizing. Note - Some parts of this podcast use visual aids. For the full experience, please refer to the Drunk Agile youtube channel - www.youtube.com/channel/UC758reHaPAeEixmCjWIbsOA

Dan and Prateek continue their series on #IneptAndInapt. Dan does a deep dive and explains #CostOfDelay and CD3. Learn why Cost of Delay and especially CD3 are dangerous to your health. Will #Nisha stay awake for this whole episode? #flow #agile Note - Some parts of this podcast use visual aids. For the full experience, please refer to the Drunk Agile youtube channel - www.youtube.com/channel/UC758reHaPAeEixmCjWIbsOA

Dan and Prateek take a closer look at the story of Wilt Chamberlain's 100 point game. What can we learn from the decisions he made? How does this tie in to the theme of #IneptAndInapt that we are exploring. If you have the motivation, the data and the outcomes all available would you make the right decision? What Would Wilt Do? Conversations about how individuals and teams fail with #InspectAndAdapt and are often #IneptAndInapt when interpreting data. Biases, data, whisky and much more on the latest episode of #DrunkAgile.

Dan and Prateek talk about the not-often-talked-about concept of right sizing. They discuss how limiting your WIP is not enough in this first episode of the #IneptAndInapt series.

Colleen Johnson, CEO of ProKanban and ScatterSpoke joins Dan and Prateek for a drink. They talk retrospectives, data, ProKanban and creating an inclusive community. Colleen takes us through the journey of how working directly with users helped create ScatterSpoke and when to ignore user requests/feedback. Also - Do feelings matter?

Dan and Prateek field a couple of listener questions. Why use daily throughput instead of weekly throughput? Why not use feature level metrics to forecast features? Note - Some parts of this podcast use visual aids. For the full experience, please refer to the Drunk Agile youtube channel - www.youtube.com/channel/UC758reHaPAeEixmCjWIbsOA

Dan and Prateek take on using Monte Carlo simulations to predict probability of features getting done. They talk about the overwhelming effect that Feature WIP (number of simultaneous features in progress) has on your chances to finish your highest priority features. Note - Some parts of this podcast use visual aids. For the full experience, please refer to the Drunk Agile youtube channel - www.youtube.com/channel/UC758reHaPAeEixmCjWIbsOA

Dan and Prateek talk about 'What not to do' when using Monte Carlo simulations to forecast work. They cover problems with using split rates, arrival rates and curve fitting. Discussions include a brief overview of the powerful technique of continuous forecasting. As always, more whisky and more #Nisha.

Dan and Prateek talk about forecasting in a probabilistic world. They demonstrate how to use Monte Carlo simulations to answer - "When will it be done?". How do we use what we know about the system to predict what we can get done using some probabilistic forecasting techniques. Note - Some parts of this podcast use visual aids. For the full experience, please refer to the Drunk Agile youtube channel - https://www.youtube.com/channel/UC758reHaPAeEixmCjWIbsOA

Dan and Prateek draw the distinction between deterministic and probabilistic thinking. They use everyday examples to describe what forecasting looks like in a probabilistic world.

In episode 1 of Drunk Agile, Dan Vacanti and Prateek Singh explore the problems with using story points for estimation. We try some whisky and talk agile software development.