Data visualisation is a key part of bioinformatics and data analysis, not just for communication of results but also for discovery of new insights. The ability to explore data interactively through visualisations is being rapidly adopted in our field, particularly through the use of R/Shiny. There is also a tension between interactive data exploration and reproducible analysis that needs to be addressed. In this talk, I’ll discuss the importance of a fast feedback loop between idea, analysis and visualisation and how to improve our tools in this area. I’ll also explore our recent work in interactive visualisation, and how we can take advantage of its benefits while also improving reproducibility of analysis.