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Jan 26, 2023·edited Jan 26, 2023

Makes me wonder what industries or companies lend themselves to Team A or Team B. To go to an extreme, something like space exploration with SpaceX is going to have a more type B team because of the difficulty in experimenting. Compare that to a company like Microsoft that would have more of a Type A team. However, Space X in comparison to Nasa will seem more like a Type A team with rapid experimentation.

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I love this point. SpaceX actually "experiments" (albeit on a pretty big scale).

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Wanted to just say the same, I would not think of spaceX as a team B. have you seen all their failed starts, they “burned” or exploded quite some money along the way.

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Wanted to just say the same, I would not think of spaceX as a team B. have you seen all their failed starts, they “burned” or exploded quite some money along the way.

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Wanted to just say the same, I would not think of spaceX as a team B. have you seen all their failed starts, they “burned” or exploded quite some money along the way.

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Jon asking again not because I’m being an a**hole but just in case you missed my question before. Wrt the “uncertainty” line on the graph, typically what are your signals (measures/metrics) about how that is either going up or down?

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Alistair Cockburn's Disciplined Learning sounds very familiar to this. He goes into it deeper here: https://confadmin.trifork.com/dl/scrum/Alistair%20The%20Heart%20of%20Agile%20Slides.pdf

Slides 16-21 talk about late/early learning strategies, and their impacts on outcomes. It's a must-read and has helped me tremendously over the years.

There's other material on the web, but his older work got turned into a research paper which I don't have access to.

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How are you measuring / gauging uncertainty?

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