This information could guide the design of better long-term user experience for the service. These changes could also be tracked to different usage phases. The cross-sequential approach, on the other hand, allowed us to identify changes in individual users’ user experience. The cross-sectional approach identified differences between cohorts of 252 users. We compared the cross-sequential approach to the cross-sectional approach commonly used in the industry. We tested the cross-sequential approach in evaluating the user experience of a commercial Internet security service and identified user experience spanning seven months in only seven weeks with two online surveys. The cross-sequential approach we propose reduces these barriers without compromising user-feedback quality. However, companies and researchers face time and cost constraints, which is why longitudinal studies tracking user experience over an extended period of time are extremely rare. Understanding temporal changes is important for designing positive long-term user experience and supporting customer loyalty. User experience changes over time as the relationship between user and product evolves. We propose a novel cross-sequential approach to accelerating the collection of user feedback while providing a broad perspective by analyzing samples of users at various stages of service and product experience.
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