Looks like an interesting alternative to three point estimates. Indeed it feels a bit more complex at first but in practice it might require less discipline than three point estimates. Often three point estimates can devolve into forced distribution for tasks. I have already seen enough time cases where most likely is always say twice the optimistic case, and pessimistic four times the optimistic case for all tasks. By forcing to explicitly treat the uncertainty as a separate metric it's seems less error prone.