This plot is perhaps an interesting start to pinning down experts (extracting their views and their self assessed uncertainties) – contrasting and comparing them and then providing some kind off overall view.
Essentially get experts to express their best estimate and its uncertainty as an interval and then pool these intervals _weighting_ by a pre-test performance score on how good they are at being experts (getting correct answers to a bank of questions with known answers).
For those who are not familiar with consensus group work, a very good facilitator is needed so that experts actually share their knowledge instead of just personalities and stances.
The experts’ intervals could easily be plotted by their performance score, and weighting schemes of %correct, versus (%correct)^2, or ( (%correct)^2 or 0 if %correct< 50% ) considered.
Better still – some data mining and clustering of experts’ pre-test answers and best estimates.
Note these could be viewed as univariate priors and points towards the much more challenging area of extracting, contrasting and combining multivariate priors.