Now that you have a good grasp on the content and scope of your one-page report, let’s talk about visual strategies!
Our brains are really talented at detecting patterns and making sense of visual information before our brain has comprehended the meaning of the actual text. Using these strategies intentionally can help you lead your reader to what you think is most important.
In this video, we talk about visual strategies including using grids, creating an intentional path, creating visual hierarchies, and paying attention to white space. All of these are important in creating a one-page report that will be effective in capturing the attention of your reader while allowing the busy reader to absorb the most pertinent information.
Lyssa Wilson Becho 
Principal Research Associate, The Evaluation Center, Western Michigan University
Lyssa is the Director of EvaluATE, she leads the training elements of EvaluATE, including webinars, workshops, resources, and evaluation coaching. She also works with Valerie on strategy and reporting for the ATE annual survey. Lyssa is a principal research associate at The Evaluation Center at Western Michigan University and co-principal investigator for EvaluATE. She holds a Ph.D. in evaluation and has 7 years of experience conducting evaluations for a variety of local, national, and international programs.
Emma Leeburg
Project Manager, The Evaluation Center, Western Michigan University
Emma Leeburg is a project manager at The Evaluation Center at Western Michigan University and is the Managing Director and co-principal investigator for EvaluATE, the evaluation hub for the National Science Foundation’s Advanced Technological Education (ATE) program. She is the co-creator of creating one-page reports and specializes in data communication and visualization. She has over seven years of evaluation experience, presenting in webinars and workshops for national and international audiences, developing resources, newsletters, and reports.
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EvaluATE is supported by the National Science Foundation under grant numbers 0802245, 1204683, 1600992, and 1841783. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation.