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b'This is the Engineering Culture Podcast, from the people behind InfoQ.com and the\\xa0QCon conferences.\\n\\nIn 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\\n\\nWhy listen to this podcast:\\n\\n\\u2022\\tKnowledge work is inherently variable, and estimates are inevitably incorrect \\n\\u2022\\tMonte Carlo simulation projects likely completion based on past history rather than future guesses\\n\\u2022\\tA small set of real data points is extrapolated to 1000 samples and that is used to produce a probability curve\\n\\u2022\\tA forecast is a point in time situation \\u2013 as teams get better at delivery their predictability should improve\\n\\u2022\\tEverything in the delivery process should be subject to change as it is continuously improved\\n\\nMore on this: Quick scan our curated show notes on InfoQ http://bit.ly/2kneWJM\\n\\nYou can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq\\n\\nSubscribe: www.youtube.com/infoq\\nLike InfoQ on Facebook: bit.ly/2jmlyG8\\nFollow on Twitter: twitter.com/InfoQ\\nFollow on LinkedIn: www.linkedin.com/company/infoq\\nWant to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2kneWJM'