Any attempt to influence behavior by sharing a research finding that makes a probabilistic statement (e.g., a p value) should necessarily entail consideration of how consumers of the information might interpret this information. Such consideration can be informed, at least in part, by applying phenomenological principles of inquiry. This does not necessarily mean that researchers should fully apply this class of methods; indeed, a decision to do so should be driven by the nature of the research questions at hand. Rather, we argue that there can be value in focusing on how end users of information experience statements of probability and risk. This conceptual article describes how researchers might rely on mixed methods to understand how members of a target group relate to, experience, and perceive statements of probability that are used to describe risk status and treatment outcomes. We describe a rationale for using general phenomenological principles to understand stakeholder perceptions of research findings that are based on probability statistics, and outline methodological ideas that can be used to investigate this area. A more distal application of this work is that it might inform future efforts in program evaluation, translational research, and ways to more effectively communicate messages about treatment impacts and risk.