useR! 2024

The R Shiny framework empowers statisticians to create interactive apps without much excursion from a typical curriculum of R. This technique can significantly enhance internal processes across the pharmaceutical industry and potentially in other sectors, by automating tasks to boost efficiency and productivity. However, the journey from concept to integration of Shiny-based tools into business workflows involves much more than coding. Critical aspects such as user experience and seamless integration with existing processes are often underestimated but essential for the successful deployment of these tools. In this presentation, we delve into the nuances of creating value-added Shiny apps that transcend basic functionality to become integral components of business operations. By examining a recent project of ours, an automation spanning from statistical analysis planning to reporting, we highlight the pivotal elements outside of coding. These learning and thinking are summarized by four key topics (design thinking on the product and user experience, collaboration mode in a product team, verification/validation, change management), and by different phases of the product lifecycle.