The third step is to design your story and data visuals in a way that makes them clear and impactful, so that you can capture the attention of your audience, communicate your main points, and persuade them to take action. To do that, you need to use some principles of storytelling and data visualization. Begin with a hook and introduce the problem or opportunity. Then, present your data and insights before ending with a call to action. Make sure to use simple and consistent language and visuals, avoiding jargon, acronyms, and technical terms. Use plain words, short sentences, and active voice. Additionally, select colors, fonts, and shapes that are easy to read and understand. When choosing data visuals, make sure they match your data and message. Use labels, legends, and titles to explain your data. Highlight the key findings and trends with colors, shapes, or annotations. To make your data visuals more engaging, use storytelling techniques such as metaphors, analogies, or stories to illustrate your data. Utilize contrast, comparison, or surprise to create interest and emotion. Lastly, use repetition, reinforcement, or feedback to reinforce your message.