{"id":17256,"date":"2022-11-19T05:37:58","date_gmt":"2022-11-19T02:37:58","guid":{"rendered":"https:\/\/klona.ua\/blog\/uncategorized\/the-creamiest-top-tips-for-creating-the-perfect-ux-ui-dashboard-design"},"modified":"2022-11-19T14:03:01","modified_gmt":"2022-11-19T11:03:01","slug":"the-creamiest-top-tips-for-creating-the-perfect-ux-ui-dashboard-design","status":"publish","type":"post","link":"https:\/\/klona.ua\/en\/blog\/industrial-design\/the-creamiest-top-tips-for-creating-the-perfect-ux-ui-dashboard-design","title":{"rendered":"The creamiest! TOP Tips for Creating the Perfect UX\/UI Dashboard Design"},"content":{"rendered":"\n

Five whales of creating an effective dashboard<\/h2>\n\n

The first acquaintance with any system<\/strong> occurs through the toolbar<\/strong> . Therefore, it is very difficult to overestimate the importance of<\/strong> its design<\/strong> . After all, from the picture he sees, the user draws<\/strong> several conclusions<\/strong> at once:<\/p>\n\n

– How informative is the presentation<\/strong> ?<\/p>\n\n

– how quickly<\/strong> he can achieve the desired goals<\/strong> ;<\/p>\n\n

– Is it possible for<\/strong> him to deal<\/strong> with all the data.<\/p>\n\n

The dashboard essentially should give a visual overview<\/strong> of the entire product<\/strong> , providing an announcement<\/strong> of all its possible features<\/strong> .<\/p>\n\n

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\"UX\/UI<\/figure>\n<\/figure>\n\n

With over 13 years<\/strong> of experience in<\/strong> UX\/UI design<\/strong> , KLONA is ready to share her secrets and rules<\/strong> for creating the perfect dashboard.<\/p>\n\n

Dashboard type definition<\/h3>\n\n

The first step<\/strong> , despite the fact that design and functionality are somewhat opposite concepts, is to study the functions of the device<\/strong> and the purposes of direct use of the dashboard.<\/p>\n\n

Depending on the tasks, there are three types<\/strong> :<\/p>\n\n

Analytical Dashboards<\/h4>\n\n

They help answer the questions:<\/strong> \u201c Why did<\/strong> this happen?\u201d and ” What to expect<\/strong> in different cases?”. They are characterized by large amounts of data<\/strong> and the ability to identify trends<\/strong> . Consist of complex<\/strong> tables, charts, graphs.<\/p>\n\n

They are great for tracking changes in<\/strong> a certain value over a long period<\/strong> , as well as for predicting the situation<\/strong> in the future.<\/p>\n\n

Solution for managers and analytical departments<\/strong> .<\/p>\n\n

Objective:<\/strong> Allows you to see current problems<\/strong> , identify trends<\/strong> and understand the challenges for improving<\/strong> key processes.<\/p>\n\n

\"Dashboard
Dashboard example<\/em><\/strong><\/figcaption><\/figure>\n\n

Operational dashboards<\/h4>\n\n

Provides a real-time<\/strong> picture of the process status<\/strong> . Allow to monitor current data<\/strong> . Usually include simple<\/strong> graphics and labels.<\/p>\n\n

Option for managers, equipment management, games and online programs.<\/strong><\/p>\n\n

Purpose:<\/strong> Evaluation of daily performance<\/strong> .<\/p>\n\n

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\"Dashboard
Dashboard example<\/em><\/strong><\/figcaption><\/figure>\n<\/figure>\n\n

Strategic dashboards<\/h4>\n\n

Monitor key performance<\/strong> indicators and influence long-term decision making<\/strong> . Such dashboards often have time frames<\/strong> – monthly, quarterly, annual performance scales.<\/p>\n\n

Choice for leaders<\/strong> .<\/p>\n\n

Purpose:<\/strong> monitoring key performance indicators<\/strong> , tracking performance for a specified period<\/strong> , performance<\/strong> analysis.<\/p>\n\n

\"Strategy
Strategy Dashboard Example <\/em><\/strong><\/figcaption><\/figure>\n\n

Audience research<\/h3>\n\n

The previous step will also help you identify users. But this is in a global sense.<\/p>\n\n

More specifically , before<\/strong> developing a dashboard design<\/strong> , you need to find out all the information about the audience<\/strong> – who will directly work with all indicators.<\/p>\n\n

And in this case, a superficial analysis is indispensable. You need to study the following aspects<\/strong> well:<\/p>\n\n

– who will work<\/strong> with the panel?<\/p>\n\n

– what information<\/strong> will be used for different purposes and tasks;<\/p>\n\n

– what is the experience<\/strong> of interacting with metrics and data;<\/p>\n\n

– what are the priorities<\/strong> in visual and color.<\/p>\n\n

\"Studying<\/figure>\n\n

The main thing<\/strong> is to understand the purpose of the user’s search<\/strong> and study his path to it<\/strong> . This is the main guideline in the entire UX \/ UI design scheme of the dashboard design.<\/p>\n\n

Analysis of goals and expectations<\/h3>\n\n

Effective<\/strong> dashboards<\/strong> are a comprehensive collection<\/strong> of data to make an informed decision<\/strong> . Therefore, to<\/strong> develop<\/strong> a dashboard design, you need to understand what decisions should ultimately be made<\/strong> and what data needs to be in the metric.<\/strong><\/p>\n\n

A survey of the audience<\/strong> that will work with the installation will show the existing experience<\/strong> and help to implement it into new dashboard metrics<\/strong> and graphs. Only in this way it is possible to determine the range of the necessary data and set their dynamism.<\/p>\n\n

Selecting the type of data display<\/h3>\n\n
\"Dashboard<\/figure>\n\n

Cumbersome and inconvenient spreadsheets that store a bunch of information will not be able to fit on the dashboard screen and will not provide the proper ease of perception and work. The ideal alternative<\/strong> in this case would be charts and graphs<\/strong> , the use of which also has its own characteristics<\/strong> :<\/p>\n\n

– to focus on the most important indicator<\/strong> , it is better to use a chart with a single value<\/strong> ;<\/p>\n\n

– to display the dynamics of its change<\/strong> , a chart with an indicator<\/strong> for one value is suitable;<\/p>\n\n

– to compare the actual data<\/strong> with the aim of a bullet<\/strong> chart; <\/p>\n\n

– demonstrate several sets of data<\/strong> in a tabular format<\/strong> , while the number of rows should not exceed 10<\/strong> ;<\/p>\n\n

– continuous data is<\/strong> best monitored with a line chart<\/strong> ;<\/p>\n\n

– a bar chart<\/strong> will show changes over time for data from one category<\/strong> ; – a pie chart<\/strong> most quickly and clearly conveys a picture of comparing sectors<\/strong> . It will be more informative to detail the segment data when hovering over or activating a specific fragment;<\/p>\n\n

– A scatter plot<\/strong> looks more original<\/strong> for comparing variables<\/strong> , but understanding the data will take more time and require more effort<\/strong> .<\/p>\n\n

When choosing any type of metric, you should start from the main requirements<\/strong> for the design of the dashboard – it should be informative, understandable and useful<\/strong> to the user.<\/p>\n\n

Important tips for developing a useful dashboard can be viewed in the video:<\/em><\/p>\n\n

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