The researchers found that using specific initial values for unknown parameters in a statistical model can help speed up the process of analyzing data. By starting the analysis with these special values, called the 2-parameter Logistic model, the Markov Chain Monte Carlo method can converge to the correct results more quickly. This approach was tested through computer simulations and was shown to significantly improve the accuracy and efficiency of the analysis.