Population projections are important in estimating the population for future dates used by the government for policy planning. The cohort component method is the most popular population projection method, and requires information on future fertility, mortality, and migration. These three factors are usually decided by expert opinions as well as historical data. However, there are concerns in using expert opinions. For example, it is not easy to quantify the expert opinions, the expert opinions do not have the meaning in probability, and the projection results based on expert opinion usually have small variance. In recent years, stochastic methods combined with expert opinions have been widely applied in order to improve the quality of population projections. The data format of quantification also plays a crucial role in quantifying the expert opinion, and in this study we explore the estimation methods for various data formats. We first review some popular methods for quantifying expert opinions, including the focused group interview and Delphi method. Then, we use computer simulation to evaluate the influence of data format on the analysis methods. It seems that, if the expert opinion is quantified in the form of payment card or binary data, the results are not very reliable. Therefore, we propose a sequential design to collect expert opinion and the simulation study shows promising results.