Drunk Agile

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.