The use of conjoint analysis in the design of bicycle-related clothing

Product design is a creative decision-making process that aims to satisfy human needs by releasing good products that can appropriately meet the preferential requirements of customers. In the development of new products, the designer must identify the preference and attitudes of customers toward certain products, ascertain the factors that make products popular in the market, and devise optimum design plans for those products. Biking has become a popular activity due to its contribution to maintaining health. Bicycle-related clothing is known to play an important role in comfort level and safety. Unfortunately, there is hardly any research or designs that consider customer preferences in the bicycle-related clothing design process. Many manufacturers mainly focus on the improvement of the material properties of clothes instead of clothing design to meet the customer requirements. This study uses conjoint analysis in bicycle-related clothing design to provide designers with an efficient approach to identify customer preferences. The lifestyles of users are examined through a massive amount of collected data used to design an attitude measurement chart/questionnaire. Customer requirements are subsequently categorized through factor analysis, and critical requirement attributes are identified for conjoint analysis. Finally, conjoint analysis is used to obtain the optimal design combination for bicycle-related clothing that adheres to the preferences of customers.