How can you communicate analysis results visually to different audiences?

A while back, my team was working on a large data set to derive customer insights to align some feature priority with leadership. While we presented the data in detailed excels and graphs internally to get company stakeholder buy-in, we put out the same data as easy-to-grasp call-out ads on the external portals and CRM email campaigns to drive vendor buy-ins. For product owners, evaluating data and communicating insights is a critical skill to have. However, just like in the example above, the same data communicated in a different way to different consumers (of data) can help achieve varied business objectives. And therefore, knowing your customers and talking to them in the language they understand becomes even more important.

1. Know Your Audience: Before unleashing your visual prowess, understand who you're talking to. Are they tech experts or business users? Executives may crave the big picture, while technical teams yearn for the nitty-gritty details. Tailor your visuals to meet their unique needs. 2. Storytelling with Data: Humans are wired to understand stories faster than absolute numbers. Create a seamless flow in your visuals, guiding your audience through the journey of discovery. 3. Simplicity is Key: Don't drown your audience in a sea of data. Keep it clean, concise, and relevant. A clutter-free visual speaks volumes and ensures your message doesn't get lost in the noise.

Understanding your audience is a key component to sharing your analysis and constructing your data story. Encourage timely questions for engagement and trust. Summarise key points for seniors, retaining story essence. Align story with audience's goals, anticipating their queries. Tailor approach for diverse groups and preferred formats. Simplify data for clarity, catering to all expertise levels. Engage with decision-makers, understanding their perspectives. Assess audience's topic familiarity, adjusting story details. Deeply know your audience for an impactful narrative.

Before choosing the particular visual to use, you should carefully consider: ?? What specific business question(s) is the visual trying to answer? ?? What is the nature of the comparison being made in that question? For example, are you comparing one series over time? spatial variation? breakdown of a total? By answering those two questions first, you will immediately weed out a slew of incorrect options. Then consider the level of your audience, and eliminate the options within that comparison type likely to be too advanced. From there, if you need additional help, the books "Practical Charts" or "Better Data Visualizations", or the website "From Data to Viz" provide expert insight in making the best choice by comparison type.

Visuals are the building block of creating stories for the audience. Below are a few steps in the hierarchy that I follow when it comes to choosing the right visual. 1. Know your Audience (Business or technical stakeholders) 2. Know your data (Data types, size of the data, and quality). 3. Know yourself as an analyst ( Important to know how well you understand what you want to achieve here).

Consider your audience, what they know and what they need to know. Avoid baby talk and, conversely, too much "fine structure". Usually it's best to gauge audience level before opening mouth or offering slides, etc.

Choosing jargon free language and making point with simple examples creates relatable experience to audience. It keeps audience constructively engaged throughout the session. Story telling makes it more interesting as people won’t remember facts and figures long while stories create emotional connect.

Tailoring your data visualization to your audience is key! Consider the nature of your data, the size of the dataset, and your audience's preferences. Whether it's charts, graphs, or dashboards, choose a visual that aligns with your communication goals and data characteristics. Keep it clear, simple, and impactful. #DataVisualization #Analytics #Communication

Before sharing your visualizations with a broader audience, conduct usability testing and feedback sessions to evaluate their effectiveness and usability. Solicit input from representative members of your target audience to identify potential ambiguities, misinterpretations, or areas for improvement. Iteratively refine your visualizations based on user feedback and insights gathered during testing.

Es recomendable tener un proceso de pase a producción independiente del flujo de desarrollo que permita testear los elementos visuales para asegurar la calidad, rendimiento e interpretación de los mismos.

Arrange your visuals in a logical sequence that guides the audience through your findings. Begin with an overview of what the analysis covers. This sets the context for your audience. Briefly mention why this analysis is important or what impact it could have. If your analysis includes specialized or complex ideas, briefly explain them before diving into the data. Start with broader data insights and gradually move towards more detailed or specific findings. Ensure each visual leads logically to the next. Transitions can be thematic, chronological, or based on data hierarchy. End with a summary of the most important findings and their implications. Encourage the audience to ask questions or give feedback.

Let's not forget here that we should talk to the audience and set expectations from the visual. How you share it will vary between clients, colleagues, etc. but in the end visualisation is a tool allowing the most important, the message behind it all.

One of the most important components of sharing data is visually crafting a narrative that resonates with diverse audiences. It is crucial that you understand your specific audience and tailor visuals to the needs and preferences of that audience. This includes flexibility in how the data is presented, for instance, some stakeholders might prefer to see a more technical breakdown while others would prefer a "big picture" overview. Another aspect to consider is which medium you are using to display your visual. Capturing attention is critical, so visual aesthetics (color schemes, font selections, layout, images, etc.) play a pivotal role in successfully delivering your narrative.

Before the final presentation, seek feedback from a representative sample of your audience. This can help you refine your visualizations based on their preferences and needs.

Dica de milh?es: fa?a uma prévia da apresenta??o para os principais stakeholders. Discuta sobre a mensagem que pretende passar com a apresenta??o, colete feedbacks e etc. Tendo passado por esta prévia, a apresenta??o oficial será um sucesso.