Creating effective data graphics can become very technical, and some visualizations require complicated programs and techniques. Often, the graphic developer gets too engrossed in the method without considering how users will perceive the visual. Sometimes, the wrong method can obscure the data story. At worst, the developer could create a visual lie. We discuss how a commonly used performance feedback process can be used as a tool to help graphic developers create functional, useful, and effective graphics that correctly depict the data. Using two fictitious cases studies, we illustrate common problems in selecting a graphical format, along with alternative solutions. In addition, we outline leading resources and strategies that will assist graphic developers in producing successful visualizations. Our goal is to help developers stop and think about the data, and how graphics are perceived, before moving onto the technical parts of creating the visual.
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