Extant individual-level information systems (IS) research that investigates task performance has primarily emphasized characteristics of the technology and task, rather than the user, in shaping performance outcomes. Given that both technology and people have inherent limitations, a worthwhile research pursuit is to examine how one might compensate for the limitations of the other in order to achieve successful system use outcomes. We propose a new conceptualization of user abilities, task-relevant user capabilities, and examine their compensatory effects with technology capabilities in shaping task-performance outcomes. We develop and examine this in the context of e-consultations (i.e., technology-mediated expert consultations). Specifically, we theorize the user capabilities of presentation (information giving) and elicitation (information seeking) as the task-relevant user capabilities in this context. Drawing upon the theory of compensatory adaptation, we propose that these user capabilities can also overcome the limitations of technology and result in successful task performance outcomes. We employ mixed methods (qualitative field study, survey field study, and a lab experiment) to develop and test our model within the context of telemedicine consultations, a form of e-consultations. Convergent findings across the studies suggest that both user capabilities and technology capabilities are important facilitators of task performance and that these capabilities interact in a compensatory manner. We discuss implications of our findings to theories examining technology-mediated expert consultations and, more broadly, to theories of system use outcomes.