This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences.

In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Conal Scanlon about his talk at QCon New York on Monte Carlo Simulation for forecasting feature development

Why listen to this podcast:

• Knowledge work is inherently variable, and estimates are inevitably incorrect

• Monte Carlo simulation projects likely completion based on past history rather than future guesses

• A small set of real data points is extrapolated to 1000 samples and that is used to produce a probability curve

• A forecast is a point in time situation – as teams get better at delivery their predictability should improve

• Everything in the delivery process should be subject to change as it is continuously improved

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2kneWJM

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