{"id":16628,"date":"2017-12-22T17:32:52","date_gmt":"2017-12-22T12:02:52","guid":{"rendered":"http:\/\/www.fusioncharts.com\/blog\/?p=16628"},"modified":"2026-01-20T14:37:19","modified_gmt":"2026-01-20T09:07:19","slug":"10-dashboard-design-mistakes","status":"publish","type":"post","link":"https:\/\/www.fusioncharts.com\/blog\/10-dashboard-design-mistakes\/","title":{"rendered":"10 Dashboard Design Errors and How to Avoid Them 2026"},"content":{"rendered":"Here’s what you shouldn’t do to ensure that your data dashboards are engaging and insightful. With this post, you’ll learn about the top ten dashboard design errors and how to avoid them; once you’ve learned everything, you’ll be able to build dashboard creations<\/a> without making design mistakes.\r\n\r\nDashboards are an excellent way to collect information and display it in the form of smart, visually appealing snapshots. It has all of the bells and whistles of an infographic, which are visually rich data representations. (The difference is that infographics already have an insight and a story built around it.) A dashboard also has the power of simple data visualizations \u2013 like tables or charts \u2013 allowing users to delve into and analyze the numbers.\r\n\r\nMost importantly, several visualizations and information snippets are combined in a dashboard, allowing users to quickly identify trends, patterns, parallels, and differences, ultimately leading to the all-important holy grail \u2013 actionable insights.\r\n\r\nHowever, ensuring that your dashboard checks all of these boxes isn’t always simple.\r\n\r\nA typical dashboard user is unlikely to be a data analyst. Marketing executives, startup CEOs, HR professionals, and government officials make up a sizable portion of your TG, and they all share three major constraints.\r\n\r\nFirst, High volumes<\/strong>\r\n\r\nMany factors influence the best decisions, and several metrics together make success (or failure). A good dashboard should collate all the relevant material without omissions or excess additions.\r\n\r\nSecond, time crunch<\/strong>. Chances are, only half of one meeting of a CEO\u2019s entire working day will be dedicated to looking at the dashboard. Without true \u2018at-a-glance\u2019-ability, your visualization runs the risk of being underutilized or even ignored.\r\n\r\nThird,\u00a0<\/span>knowledge gaps<\/span><\/strong>. The onus is on you, as the dashboard creator, to correctly depict the information. For instance, a business user might ignore a slice representing 0.5% in a pie chart \u2013 because she doesn\u2019t know what she\u2019s looking for or the many nuances of visualization.<\/span>\r\n\r\nDashboards have been around for a while now; the 1970s decision support systems first sparked the idea. Since then, it has gone through several transformations \u2013 fueled by advancements in IT and data science on the one hand, and the evolution of design on the other.<\/span>\r\n\r\nToday, you only have to look up \u2018dashboard\u2019 on Pinterest to be flooded with exciting and valuable data visualization ideas.<\/span>\r\n\r\nIf you\u2019re working on a dashboard project that\u2019s also Pinterest-worthy (or nearly there) \u2013 here are ten pitfalls to avoid:<\/span>\r\n
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