Here's how you can effectively communicate complex product innovations using data visualization.

Master the basics of data visualization—charts, graphs, and maps—to reveal trends and patterns. Keep it simple, avoid clutter. Traditional tools like Tableau have been great for creating comprehensive dashboards that tell a story, making complex data accessible with complex filtering capabilities and by building 'Stories'. The future is shifting. New self-service tools, leveraging LLMs like ThoughtSpot, are making the phrase "dashboards are dead" a reality. These tools allow for real-time, on-demand visualizations through natural language queries, democratizing data analysis. Awareness of these trends to stay ahead—combine storytelling with the flexibility and accessibility of new technology is imperative. Most of all know your use case.

Every great product has a story, and data visualization is your storyteller. Imagine your product's data as the plot. Your visuals should guide viewers from the initial problem, through development, to the final solution. Build a sequence of visuals that create a narrative arc, keeping your audience hooked and helping them see the importance of each data point in your product's journey. Incorporate UX/UI and human-centered design to make your dashboards intuitive—colors, design, and layout matter. "Storytelling with Data" by Cole Knaflic is a fantastic resource for this. When you carefully plan these elements, your visualizations become not just informative, but engaging and easy to navigate, bringing your product's story to life.

Color coding is a powerful tool that can instantly convey meaning and categorize information. When you're communicating the insights, think of color as a language. Use it strategically to differentiate features, highlight changes, or indicate performance. Consistency is essential; once you establish a color scheme, stick to it across all your visual materials. This consistency helps your audience quickly learn and remember what each color represents, making the information more intuitive and your innovation easier to grasp. Remember, it's not just about showing data; it's about helping your audience understand and connect with your story. Use color to guide them through the narrative, making complex information accessible and engaging.

Targeted Engagement: 1. Go beyond generic interactions. Tailor them to highlight key innovation aspects. 2. Use sliders to compare pre- and post-innovation performance. 3. Implement filters to explore data by user segments relevant to the innovation. 4. Consider clickable elements for deeper dives into specific functionalities. 5. Interactive features should enhance understanding, not overwhelm.

It's often tempting to include as much data as possible in your visualizations, especially when you spent so much effort accumulating and analyzing it. However, it's far more effective to focus on metrics that matter to your shareholders and directly relate to the key benefits of your product innovation. Emphasizing 3 strong metrics during a presentation is far more effective than dwelling upon 100 mediocre ones.

Metrics are very important, but if they are not linked to the purpose of your product, they do not generate value. Understand the purpose of your product, and defined vision, think of ways to measure whether the purpose was achieved or not. There may be primary and secondary metrics to measure your product objective, but the important thing is that they are all in tune with your product objective and strategy.

Data is meaningless unless it can be visualized by person reading the data. The visualization can be of many forms. To name a few, comparison to other similar data, how the data changes over time due to other variables, etc. The visualization is critical to have. Data visualization for innovated products is an advance way to illustrate the products. I find it more simple and more fun to show is product visualization. It can be showed by full scale or any other scales.