Interpreting and communicating results
1. Interpreting and communicating results
Welcome. In this video, we will cover the last element of the individual skills for data fluency which is about effectively interpreting and communicating results.2. The power of communication
In the world of data, the ability to effectively communicate findings is crucial. Clear and engaging communication is a powerful tool for data-fluent individuals that helps them transform data into actionable insights that decision-makers can understand and act upon. Communicating data analysis results to stakeholders involves various methods ranging from dashboards and reports to analysis papers and presentations.3. Presenting data insights
Let’s consider the scenario of our success manager, Katia who is working at "Xcelerate Solutions", the tech startup that provides innovative software solutions to businesses. Katia is excited about her finding that the drop in user engagement is due to poor software performance. She now needs to communicate these insights to her team, including the product and engineering teams. She arranges a meeting and during that meeting, she conducts a presentation to share her findings.4. The power of data storytelling
Katia crafts a data story to convey her insights in a compelling and relatable way that resonates with her audience. Data-fluent individuals recognize that presenting raw numbers and charts might not be enough to convey the significance of their findings. Instead, they weave a narrative around the data, crafting a story that engages their audience and helps them understand the insights in context and the possible resulting actions.5. Crafting a compelling narrative
To craft an effective data story, Katia sets the context, she starts by outlining the problem she has investigated, the decline in user engagement, and how it affects the company goals. She then takes her audience on a journey through the data, showing the fluctuations in user engagement metrics and the corresponding software performance. By highlighting the cause-and-effect relationship between these factors, she makes the story relatable and impactful. Additionally, she uses visual aids like line charts and bar graphs to illustrate her points, making the data more accessible to her audience.6. Tailoring the message
She makes sure that she tailors her communication according to her audience. For the product manager, she focuses on the potential impact on customer satisfaction and revenue, emphasizing the urgency of addressing the software performance issues. For the developers, she delves more into the technical aspects, showcasing how specific software changes could lead to improved user engagement. She also steers clear of over-complicating the narrative with jargon and technical terms, ensuring that the message is clear to both technical and non-technical audiences.7. Creating a conversation
Communicating with data is not just a one-sided monologue but rather a guided conversation. Katia encourages questions and discussions throughout her presentation. She pauses after presenting her key insights to invite reactions, thoughts, and questions from her audience. This opens up the conversation keeps the audience engaged and fosters a collaborative atmosphere.8. Ensuring actionable insights
At the heart of data communication lies the goal of driving action. Katia ensures that her presentation ends with actionable insights. For the product manager, she recommends a priority focus on improving software performance. For the development team, she suggests specific areas to investigate for code optimization. This ensures that the presentation isn't just informative, but also guides the team toward meaningful steps.9. Summary of best practices
Let’s summarize these practices we just saw from Katia for effective data communication. Create a data story. Data storytelling involves presenting data in a narrative format that engages and resonates with the audience. Set the context. Help the audience understand the context and significance of the data analysis results. Support your narrative with visual representations that best highlight the key insights and trends within the data. Tailor the message. Tailor the message based on the audience and avoid jargon and technical terms. Create a conversation to keep the audience engaged and receive feedback. Ensure actionable insights. Clearly communicate the key takeaways and recommendations for decision-making.10. Let's practice!
Now, let's review these practices with some exercises!Create Your Free Account
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