Well-crafted graphics help communicate complex information when space is limited. A graphic can improve a panelist's ability to process project structure, timelines, preliminary data results, or research methods.

Many researchers have heard that graphics help proposals get funded. Yes and no. If the graphic is not well-crafted, it can have reverse effects and add confusion.

Unified Modeling Language (UML) diagrams describe what must happen in the system being modeled. Lucidchart has a good explanation.

• InformalScience.org: A Start to Developing a Logic Model
• U.S. DoE Institute of Education Sciences Logic Model Overview
• Centers for Disease Control: Logic Models for Planning and Evaluation

Make good use of the caption, header, and title of the graphic so reviewers quickly understand what you need them to know. Add a bit of interpretation.

Curate your own collection of tables and graphics that you find helpful or inspirational. You may want to follow the data viz specialists on Twitter: @EdwardTufte, @evergreendata, @puddingviz, @UpshotNYT, #dataviz, #infographics

Avoid chartjunk  - the visual elements that are unnecessary or dtract from a viewer's understanderstanding. View this classic example from when the data viz field was new of what not to do.  

Make thoughtful color choices. Many people experience color vision deficiencies and will struggle if the colors are not distinct enough. Also, many panelists, if they print your proposal, may print in black and white.

• Color Oracle simulates what those with visual impairments see.
• This resource provides helpful tips for designing scientific figures with limited use of color.

Don't forget Excel as a chart design tool. This list helps select the best chart.

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