A significant interest for Web process design is to discover the discrepancies between the users' transaction process sequences and the desired process sequence for the Web transaction process. Sequence data analysis has been an important approach to analyzing Web log data in the e-commerce field. There have been many methods for sequence data analysis; however, few existing methods can be applied to analyzing designed Web transaction process sequence data for improving Web process design. This paper proposes an adaptable sequence matching algorithm for analyzing designed Web process sequence data for discovering knowledge about the Web process design. An application of this algorithm to a case of online shopping cart abandonment analysis is presented.