I'm one of the founders of Causal (#12 on the list) — this is one of the key things we've tried to address in a couple of ways: 1. Ranges vs point estimates: i

I'm one of the founders of Causal (#12 on the list) — this is one of the key things we've tried to address in a couple of ways: 1. Ranges vs point estimates: instead of assumptions being fixed values (e.g. my 'Growth Rate' is 10%), you can define ranges like '5% to 15%', and we run thousands of simulations to figure out the actual range of plausible outcomes. We also make it trivial to set up different discrete scenarios. 2. Interactive dashboards where you can tweak assumptions: if you think an assumption is too ambitious/unrealistic, you can actually just go in and change it yourself to see what happens. These changes don't get saved to the model, and there's no chance of accidentally breaking anything. Here's an example: https://my.causal.app/models/1269 https://my.causal.app/models/1269