You’re in a data science meeting with stakeholders. How can you communicate effectively with everyone?

2 Define your purpose

Next, you need to define the purpose of your presentation. What do you want your audience to learn, do, or decide after listening to you? What is the main problem you are trying to solve, and what is your proposed solution? What are the key insights, benefits, or impacts of your data analysis? How do you measure your success or evaluate your results? Having a clear and specific purpose will help you focus your presentation on the most relevant and important information, and avoid unnecessary details or distractions.

3 Structure your story

Then, you need to structure your presentation in a logical and coherent way. A common framework for data storytelling is the STAR method, which stands for Situation, Task, Action, and Result. You start by setting the context and describing the situation or challenge you faced. Then, you explain the task or objective you had to achieve, and the data sources, methods, and tools you used. Next, you show the actions you took, and the data analysis, visualization, or modeling you performed. Finally, you present the results or outcomes of your data science project, and how they relate to your purpose and audience.

4 Visualize your data

One of the most effective ways to communicate your data science findings is to use visual aids, such as charts, graphs, tables, or dashboards. Visuals can help you illustrate your data, highlight patterns, trends, or outliers, and compare or contrast different scenarios or options. However, you need to choose the right type of visual for your data and message, and follow some best practices for data visualization. For example, you should use appropriate colors, labels, scales, and legends, avoid clutter or distortion, and provide clear captions or annotations. You should also use

tags to show any code snippets or queries you used to generate your visuals.
###### Engage your audience
Finally, you need to engage your audience throughout your presentation, and make them feel involved and interested in your data story. You can use various techniques to capture their attention, such as asking questions, telling anecdotes, using humor, or showing empathy. You can also use interactive elements, such as polls, quizzes, or demos, to get feedback, test understanding, or demonstrate functionality. You should also check for comprehension, and invite questions or comments from your audience. Be prepared to answer them clearly, confidently, and respectfully, and thank them for their participation.
######Here’s what else to consider
This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?