The article discusses different methods used in conjoint analysis to understand people's preferences. It explains how these methods help simulate how individuals make choices. The focus is on rating, ranking, and discrete response techniques for collecting data. Recent advancements in conjoint analysis, especially in designing and analyzing discrete choice experiments, are highlighted. The article also mentions limitations and suggests areas for future research.