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AI Dashboard Designs

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AI can design 4 dashboards in just 60 seconds. In this document I summarize you how, plus the cons of using AI for your dashboard designs.

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4 x AI Dashboard Designs
AI-Designed Dashboards: Pros and Cons


Ai design these four dashboards in just 60 seconds from a sentence worth of instructions. They're eye-
catching and make the audience want to take a closer look, which is half the battle in getting your reports
read.


The designer tried out chat gpt's sister service for generating images called dali to create a Microsoft Excel
dashboard containing charts displaying quarterly sales data over a two-year period, and it generated
dashboard images that looked like they were made in 1985. Thankfully, there's another service called
midjourney which is more up to the task.


However, there are some limitations to using AI to design reports that you need to consider before jumping
in. Make sure to use it to inspire ideas but don't let it inform decisions on what charts to include in a
dashboard report.


Pros of AI-Designed Dashboards


• Quick and easy to create from a sentence worth of instructions


• Eye-catching and attention-grabbing design


• Good for getting ideas for your reports


Cons of AI-Designed Dashboards


• Limitations in generating tailored visuals that meet the business purpose of the report


• Misleading visuals that have no substance


The bottom line is that you should have some fun getting ideas for your reports from AI and midjourney, but
don't use it to inform decisions on what charts to include in a dashboard report. Instead, use Excel
dashboard course to learn more on chart best practices in Excel dashboard course.


Dashboard Best Practices


The objective of a dashboard report is to provide a visual display of the most important information needed to
achieve one or more objectives displayed on a single screen so it can be monitored at a glance.


You should be encouraged to use a line or column chart in your report. And if you need to include data over
time, use a bar chart. The contrasting box behind each visual nicely segregates the data.

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