User experience (UX) evaluation provides feedback on the effect of interacting with a system on users and contributes to the understanding of the impact of individual design elements on the experience. Traditional UX evaluation methods, such as observations, interviews, and self-report questionnaires, are based on the participants’ subjective input, as users’ responses shape the evaluation insights. Meanwhile, more and more user experience evaluation procedures include physiological measurements as feedback to assess an experience. These data are considered more objective due to the absence of complete control of bodily responses and offer the opportunity to measure the bodily and emotional states of a person over time. Thus, integrating qualitative and quantitative data with multiple physiological responses through triangulation shapes an interdisciplinary user experience evaluation approach that offers cross-checking insights, avoids relying on a single evaluation method, provides more credibility to the findings, and integrates different pieces of information, leading to a comprehensive understanding of the experience. The aim of this paper is to present Usersence, a user experience evaluation tool that assembles information to identify users’ affective states, enabling evaluators to gather data for analysis and decision-making using commercial wearable devices, custom software, and self-report methods. We present illustrative use cases to demonstrate Usersence’s application in real-world scenarios in the laboratory and in the field and explore its ability to assist evaluators in identifying critical findings related to the user experience. A follow-up discussion provides further insight into the opportunities and pitfalls of evaluating the user experience based on an integrated view of multimodal input and the associated practical and ethical implications.