Drunk Agile 공개
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Drunk Agile

Dan Vacanti & Prateek Singh

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Dan Vacanti and Prateek Singh drink whisk(e)y and discuss various facets of agile software development. From scotch to bourbon and from metrics to human behaviour, we cover it all.
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Colleen Johnson visits Nisha, Dan, and Prateek to discuss what is coming up for ProKanban.org. They talk about the various roles like Scrum Mastesr, managers, and team leads who can be better equipped to help teams succeed. As Agile roles keep getting put on the chopping block, how can learning more about kanban and flow help you stand out?…
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Which prioritization technique do you use? Does it even matter? Is ordering your backlog waste (Yes, it is)? What if you could save all the time you spend prioritizing and still get better results?#Nisha, Dan, and Prateek discuss how Just in Time decisions and limiting WIP are far superior to having a prioritized backlog, in the latest #DrunkAgile …
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#Nisha, Dan, and Prateek cover their preference for creating stable systems over spending time in planning sessions. What does planning have to do with Dante's circles of hell? If Agile is about continuously learning, can you really plan in advance what you will get done?저자 Dan Vacanti & Prateek Singh
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Dan and Prateek stick to the same whiskey and the same topic from the previous episode - Timeboxes. This time though we go deeper into the risk and complexity associated with them. Particularly in #Agile environments.#Nisha is as active as ever, on this latest episode of #DrunkAgile.저자 Dan Vacanti & Prateek Singh
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Does your team get done with work early? Or does your team get done with work a few days late? Are these problems to be addressed? Is it really a problem that your #scrum team got done with the #Sprint goal on day 10 of a 14-day sprint? What if they look like they will get done on day 16?Do you know what are the 'Two Mistakes' according to Shewhart…
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Nisha, Dan, and Prateek are back with some whisky and revisiting thoughts around Ex-Ante vs Ex-Post in order to answer an audience question looking for "guidance on finding the sweet spot to achieve meaningful metrics without too much waste in the form of ex-Ante Analysis."저자 Dan Vacanti & Prateek Singh
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