Yes, @marclauritsen! We did experiments w both varieties. Here, we made a decision tree then converted it into a Qnamarkup: https://docs.google.com/document/d/1xxQVHGi-jLiW8G7n0SizUL8qHg68wnwaLQSS1vcyfuQ …, & this one we made a decision tree and calculated estimated values using http://draw.io : https://docs.google.com/document/d/1T5FAv4vDFwldFtPlIvw2rWySZVeeUoHajz3wpTGQSX4 …
There are at least 2 quite different kinds, right? - Branched network of issues that leads to various conclusions; - Fans of probability distributions whose end nodes express likelihoods of particular paths. Both are 'graphs' but they have quite different properties and purposes.https://twitter.com/GTeninbaum/status/1089852958861377537 …
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Each lead to great conversations. The first about the challenges of creating complete & accurate tools; the 2nd about the things beyond raw numbers that matter to clients (a chance to discuss tools being part of a discussion, but not sufficient on their own to decide)
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