Reading the conjoint analysis white paper, I see the following detail:

“The Qualtrics Conjoint Analysis Solution uses Hierarchical Bayes estimation written in STAN to calculate individual preference utilities. Qualtrics runs 1000 iterations per Markov Chain and and runs 4 chains.”

I am wondering if it is possible to know more details about this process, specifically: what priors are used for the coefficients? And, of that 1000 iterations, is that after a burn-in of 1000 iterations?