Both teams are working on a chunk of work spanning 1-3 months. However, there is huge difference between estimating “work” (when will it be done), and estimating “time to make significant progress and reduce uncertainty”.
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.
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?
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.
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?
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.
How are you measuring / gauging uncertainty?