Audit-and-feedback programs in residential aged care (RAC) increasingly rely on dashboards and benchmarking reports to improve medication safety, yet it remains unclear which data visualisations staff can accurately interpret, prefer, and find sufficiently informative to trigger quality improvement. We assessed common cross-sectional and longitudinal visual formats for communicating medication-related quality indicators to RAC staff. A 37-item online survey was administered via REDCap to Australian RAC staff (September–November 2024). Using mock medication-use indicator data, participants evaluated five cross-sectional formats (table, star rating, bar chart, funnel plot, caterpillar plot) and two longitudinal formats (box plot, line graph). Outcomes were interpretation accuracy, perceived ease of interpretation (5-point Likert), preference, and perceived actionability. Free-text responses were analysed using content analysis. Forty-two RAC staff participated. Bar charts were the most preferred cross-sectional format (54–55%), with 79% interpreting them correctly. Tables had the highest accuracy (81%) but were less preferred. Funnel and caterpillar plots were frequently misinterpreted (44% and 38% correct, respectively). Star ratings were often interpreted correctly (67%) but were least preferred due to insufficient contextual information. For longitudinal monitoring, line graphs were strongly preferred (91%) and correctly interpreted by 71%, compared with 53% for box plots. Participants reported that visualisations provided sufficient information to investigate or change practice; actions described included investigating outliers, conducting medication reviews, and educating staff, though several respondents requested additional context (e.g., facility size and resident characteristics) before acting.