How do you engage stakeholders with storytelling and visualization?

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As a machine learning practitioner, you know how important it is to communicate your results and insights to your stakeholders, whether they are clients, managers, or colleagues. But how do you make your data and models more engaging, understandable, and memorable? How do you tell a compelling story with your machine learning outputs? How do you use visualization techniques to enhance your message and persuade your audience? In this article, we will explore some tips and best practices for engaging stakeholders with storytelling and visualization in machine learning.

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Aeron Zentner DBA

Dean of Institutional Effectiveness: Research, Analytics, Accessibility, Accreditation, Planning, & Grants

1 Know your audience

The first step to engaging stakeholders with storytelling and visualization is to know your audience and tailor your content and style accordingly. You need to understand their background, goals, expectations, and pain points, and how your machine learning solution can address them. You also need to consider their level of technical expertise, interest, and attention span, and avoid jargon, acronyms, and unnecessary details that might confuse or bore them. Instead, focus on the key takeaways, benefits, and implications of your machine learning work, and use simple and clear language.

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Aeron Zentner DBA

Dean of Institutional Effectiveness: Research, Analytics, Accessibility, Accreditation, Planning, & Grants
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Conduct research at the scale and level of interaction an audience had with the topic. In doing so, delve deeper into their broader perspective and how it associates to purpose the presentation of information. also utilize the language, terminology, and example that audience members can connect with. By contextualizing the data message, you can engage more effectively.

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Priya Ranjani Mohan

Manager, Cyber and Tech Risk @ KPMG | LinkedIn Learning Instructor for AI courses | Samsung's AI Innovation Program Member | Speaker | LinkedIn Creator Accelerator Program Alumni | AI Strategist
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- Engage stakeholders through storytelling and visualization. - Know your audience: Understand their background, goals, and pain points. - Tailor content and style accordingly to suit their preferences. - Consider their technical expertise, interest, and attention span. - Avoid jargon, acronyms, and unnecessary details that may confuse or bore them. - Focus on key takeaways, benefits, and implications of your machine learning solution. - Use simple and clear language to communicate effectively.

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2 Define your narrative

The second step to engaging stakeholders with storytelling and visualization is to define your narrative and structure your presentation around it. A narrative is a coherent and logical sequence of events or arguments that leads to a conclusion or a call to action. It helps you connect the dots between your data, models, and insights, and create a meaningful and memorable story. A good narrative should have a clear beginning, middle, and end, and follow a common pattern, such as the problem-solution-benefit, the challenge-opportunity-recommendation, or the situation-complication-resolution.

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3 Choose your visuals

The third step to engaging stakeholders with storytelling and visualization is to choose your visuals and design them effectively. Visuals are powerful tools to convey information, emotions, and insights, and to support your narrative and arguments. They can also capture attention, enhance understanding, and increase retention. However, not all visuals are created equal, and you need to select the ones that best suit your purpose, data, and audience. Some common types of visuals for machine learning are charts, graphs, tables, maps, diagrams, images, and videos. You also need to follow some basic principles of visual design, such as clarity, simplicity, consistency, alignment, contrast, and color.

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Aeron Zentner DBA

Dean of Institutional Effectiveness: Research, Analytics, Accessibility, Accreditation, Planning, & Grants
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Visuals should represent the data in an unbiased manner and can partially be achieved by the author/data visualization designer using accurate graphic components (e.g., scale, labeling, axis) and graphs that present the data in a manner that is easy to consume, describe, and share.

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4 Use interactivity

The fourth step to engaging stakeholders with storytelling and visualization is to use interactivity and invite feedback. Interactivity is the ability to manipulate, explore, or modify the visuals or the data behind them. It can enhance engagement, curiosity, and learning, and allow your audience to discover their own insights or questions. You can use interactivity in different ways, such as allowing your audience to zoom in or out, filter or sort, highlight or compare, or change parameters or scenarios. You can also use tools such as sliders, buttons, dropdown menus, or checkboxes to create interactive dashboards or reports. Moreover, you can encourage your audience to share their opinions, comments, or suggestions, and respond to them accordingly.

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5 Add emotion

The fifth step to engaging stakeholders with storytelling and visualization is to add emotion and appeal to their values and motivations. Emotion is a powerful driver of decision making, memory, and action, and it can help you create a stronger connection and impact with your audience. You can use emotion in different ways, such as using stories, anecdotes, or examples that relate to your audience's personal or professional experiences, using visuals that evoke positive or negative feelings, such as joy, surprise, anger, or fear, or using words, phrases, or tones that express enthusiasm, passion, urgency, or confidence.

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Aeron Zentner DBA

Dean of Institutional Effectiveness: Research, Analytics, Accessibility, Accreditation, Planning, & Grants
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I would suggest add emotion when warranted not in all aspects of a visual or presentation and it may come off as disingenuine or lackluster. Emotion can be a way you present or an outcome by which you are trying to bring out in the audience.

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6 Practice and refine

The sixth and final step to engaging stakeholders with storytelling and visualization is to practice and refine your presentation and delivery. No matter how good your content and visuals are, they will not be effective if you do not present them well. You need to practice your presentation several times, preferably with a friendly and constructive audience, and get feedback on your content, visuals, and delivery. You also need to refine your presentation based on the feedback, and make sure it is clear, concise, and coherent. Additionally, you need to prepare for possible questions, objections, or challenges from your audience, and have backup slides, data, or evidence to support your claims.

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Aeron Zentner DBA

Dean of Institutional Effectiveness: Research, Analytics, Accessibility, Accreditation, Planning, & Grants
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When sharing information it is essential to guide the audience to you key points associated with the purpose of the presentation. It would be recommended to make assertions or statements and support the concepts with relevant examples and visual representations.

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7 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?

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Aeron Zentner DBA

Dean of Institutional Effectiveness: Research, Analytics, Accessibility, Accreditation, Planning, & Grants
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Consider the settings (e.g., physical, social, psychological)when sharing information. By having a greater understanding of these aspects, presenters can effectively guide the presentation to reach its maximum potential.

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How do you engage stakeholders with storytelling and visualization?

1

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3

4

5

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7

1 Know your audience

2 Define your narrative

3 Choose your visuals

4 Use interactivity

5 Add emotion

6 Practice and refine

7 Here’s what else to consider

Machine Learning

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How do you engage stakeholders with storytelling and visualization?

1

2

3

4

5

6

7

1 Know your audience

2 Define your narrative

3 Choose your visuals

4 Use interactivity

5 Add emotion

6 Practice and refine

7 Here’s what else to consider

Machine Learning

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