The integration of AI-based features is rapidly transforming interactions with software systems. While these innovations aim to enhance functionality, their impact on user experience and business outcomes such as satisfaction and loyalty remains underexplored. This study investigates how the user experience (UX) of AI chat bots relates to two key user-level outcomes: Customer Satisfaction (CSAT) and Net Promoter Score (NPS). Drawing on a sample of N = 146 users, we conducted regression analyses, including interaction terms with AI usage frequency and perceived competency. Results indicate that perceived Usefulness significantly predicts both CSAT and NPS, with partial support of moderation effect by the frequency of AI use. Specifically, higher usage increases the positive impact of Usefulness on NPS. Overall, our regression models for CSAT and NPS explained around 39% and 48% of the variance, respectively. These results indicate a good model fit and underline the importance of good UX in AI systems, as this is significantly impacting the satisfaction and loyalty of users. In summary, by linking established UX metrics to strategic business indicators, we show how UX professionals can contribute to more business value and additionally offer guidance to adopt a more user-centered perspective on AI development.

As collaborative technologies become integral in both professional and leisurely settings, especially during the rise of remote work and digital communities due to COVID-19, understanding the user experience (UX) factors is critical. This study aims to explore the differential importance of these UX factors across professional and leisure contexts, leveraging the widespread use of collaboration tools for an in-depth analysis. The objective of the study is to identify and assess key UX factors in collaboration tools, and to quantify their differential impact in professional and leisure settings. Our research underscores the nuanced role of context in evaluating User Experience (UX) factors’ importance in collaboration tools, with significant variances observed across professional and leisure settings. While some UX factors, including accessibility, clarity, and intuitive use, maintained universal importance across contexts and tools, others—specifically dependability and efficiency—contradicted assumptions of being universal" hygiene factors", demonstrating the complexity of UX evaluations. This complexity necessitates a differentiated approach for each context and collaboration tool type, challenging the possibility of a singular evaluation or statement.

As digital technologies advance, user experience (UX) has become crucial for software and services success. The User Experience Questionnaire Plus (UEQ+) is a flexible tool used to evaluate UX through questionnaires tailored to specific problems, yet a critical factor often overlooked is Trust. Trust, understood as a user’s belief in a software’s ability to function consistently, securely, and with respect for user data privacy, is especially pivotal in areas like financial services, health informatics, and e-commerce platforms. This paper focuses on the construction and validation of Trust as a new factor in the UEQ+. During the construction phase, an initial collection of potential items was assembled for the trust factor. A subsequent study involving 405 participants facilitated the reduction of these items to four, a task accomplished via factor analysis. The proceeding stages involved two additional validation phases, enlisting a total of 897 participants, wherein the selected items were subject to validation. The culmination of this process resulted in a newly validated factor, Trust, which is constituted by the following items: insecure-secure, untrustworthy-trustworthy, unreliable-reliable, and non-transparent-transparent.

The integration of Agile software development and User Experience (UX) has become a growing field of research, as both approaches play critical roles in building digital products and services. In this special issue on Agile UX, the current state of the field is explored through a combination of systematic literature reviews and qualitative and quantitative studies. The special issue provide an overview of the key trends, challenges, and successes in combining Agile and UX, and highlight the importance of involving stakeholders throughout development. The shift from plan-driven approaches to Agile UX approaches has brought a focus on human values and a better understanding of the importance of considering users’ needs. We present recent advances in research and practice, showing that Agile UX is a continuous journey towards changing user behavior by delivering value.

Software development companies use Agile methods to develop their products or services efficiently and in a goal-oriented way. But this alone is not enough to satisfy user demands today. It is much more important nowadays that a product or service should offer a great user experience — the user wants to have some positive user experience while interacting with the product or service. An essential requirement is the integration of user experience methods in Agile software development. Based on this, the development of positive user experience must be managed. We understand management in general as a combination of a goal, a strategy, and resources. When applied to UX, user experience management consists of a UX goal, a UX strategy, and UX resources. We have conducted a systematic literature review (SLR) to analyse suitable approaches for managing user experience in the context of Agile software development. We have identified 49 relevant studies in this regard. After analysing the studies in detail, we have identified different primary approaches that can be deemed suitable for UX management. Additionally, we have identified several UX methods that are used in combination with the primary approaches. However, we could not identify any approaches that directly address UX management. There is also no general definition or common understanding of UX management. To successfully implement UX management, it is important to know what UX management actually is and how to measure or determine successful UX management.

In recent years, user experience questionnaires have established themselves to measure various aspects of User Experience (UX). In addition to these questionnaires, an evaluation tool is usually offered so that the results of a study can be evaluated in the light of the questionnaire. As a rule, the evaluation consists of preparing the data and comparing it with a benchmark. Often this interpretation of the data is not sufficient as it only evaluates the current User Experience. However, it is desirable to determine exactly where there is a need for action. The User Experience Questionnaire (UEQ) is a common and valid questionnaire with an evaluation tool to measure and analyse the User Experience for a product or service. In our article we present an approach that evaluates the results from the User Experience Questionnaire using the importance-performance analysis (IPA). The aim is to create another possibility to interpret the results of the UEQ and to derive recommendations for action from them. In a study with 467 participants, we validated the approach presented with YouTube, WhatsApp, and Facebook. The results show that the IPA provides additional insights from which further recommendations for action can be derived.

User Experience Questionnaire is a common and valid method to measure the User Experience (UX) for a product or service. In recent years, these questionnaires have established themselves to measure various aspects of UX. In addition to the questionnaire, an evaluation tool is usually offered so that the results of a study can be evaluated in the light of the questionnaire. As a rule, the evaluation consists of preparing the data and comparing it with a benchmark. Often this interpretation of the data is not sufficient as it only evaluates the current User Experience. However, it is desirable to determine exactly where there is a need for action. In our article we present an approach that evaluates the results from the User Experience Questionnaire (UEQ) using the importance-performance analysis (IPA). The aim is to create another possibility to interpret the results of the UEQ and to derive recommendations for action from them. In a first study with 219 participants, we validated the approach presented with YouTube and WhatsApp. The results show that the IPA provides additional insights from which further recommendations for action can be derived.

To enable an interactive product to provide adequate user experience (UX), it is important to ensure the quantitative measurability of this parameter. The User Experience Questionnaire (UEQ) is a well-known and popular method for such a UX measurement. One of the key features of this questionnaire is a benchmark that helps to interpret measurement results by a comparison with a large dataset of results obtained for other products. For situations where filling out the entire UEQ is too time-consuming, there is a short version (UEQ-S). However, there is currently no sufficient data available to construct an independent and interpretable benchmark for this short version. This paper examines the efficiency of using a modified version of the existing benchmark of the full UEQ for this purpose. The paper also presents some additional evaluation results concerning the UEQ-S.