Dashboard Design: Best practices & Design Principles (in 2025)

Dashboards are a powerful tool to communicate data and other information with a user-centered design that follows dashboard design best practices and proper data visualization.

Although every dashboard has unique goals, requirements, and limitations, following key design principles, and exploring different layouts and best practices can significantly improve the overall design quality, making it more impactful and user-friendly.

This guide outlines the methods we use at LoopStudio to improve dashboards from basic functionality to real effectiveness.

We will explore the practical elements of designing dashboards that not only have an appealing aesthetic but also encourage appropriate actions.

Our role as dashboard designers 

An effectively designed dashboard should make the users’ work easier on a daily basis. 

I consider that there are 3 actions that as designers we have to carry out to achieve an efficient dashboard design:

1. First and foremost, you need to empathize with the dashboard’s user types and understand their goals and who you are designing for. 

This is just an example, but inside a company, there are a lot of types of users for a dashboard, In this case, the distinction is based on the job positions.

You have to be able to translate and interpret the data given to you and use the correct type of data visualization to express this information to the dashboard’s user in a meaningful way.

If you accomplish the previous steps you’ll help users make data-driven decisions, and have achieved your goal as a dashboard designer. 

Top 3 Design principles that we apply

There are many things to take into account when designing a dashboard, It should always be an intuitive tool that guides users directly to the insights they need. Through my experience at LoopStudio, I have identified three key principles that consistently result in effective dashboards

1. Affordance

It is the quality or property of an object that defines its possible uses or makes clear how it can or should be used.

There are a few things we can do to ensure affordance for our dashboard: 

• Show the user how to use the dashboard: You can Achieve this by Defining your audience.
• Guide your user through the answers to the questions that your dashboard is going to answer: Tell a story throughout the page and answer key questions in an order that makes sense.

• Hierarchize the Data: Highlight the most important information that users need at a glance. You can Prioritize the most important information at the top and always aim to communicate one key message per page.

2. Accessibility

If your design system meets accessibility standards, the UI will probably be accessible but there are a few more things we can do to ensure accessibility for the dashboard itself:

• Avoid the use of acronyms: Write out the full words and sentences. Acronyms tend to be very specific to a department or area of expertise, making them difficult or impossible to decipher for people outside of that group.
• Add notes to your dashboard where they’re needed. (Chart, footer, tooltip): This Will help users really understand the details of the data, for example: How the metric is defined, What the data source is, and how the data is collected.
• Use the question the chart answers to the user as a title to your chart.

3. Aesthetic

Always use the elements and data visualizations with intention and generate clear communication.

• Data visualizations: Before choosing the graphics you can ask yourself a few questions that will help you decide:
• What do I need to communicate?
• What format is the data in?
• What is the relationship between the information I want to show? 

Parts of a whole: Compares categorical levels and Data over time. In this type of graphics, it is emphasized that the compared values are part of a whole.

Comparison: Compares categorical levels and data over time. These graphics can be horizontal or vertical and the order of the values should always be from highest to lowest.

Trends: Shows and compares values and behaviors over time, in this type of graphics you can compare a maximum of three lines in one chart.

Distribution: Shows the distribution of data, especially when grouping values ​​into ranges. Histogram and box plot charts are the most used in these cases.

Correlation: The comparison is between numerical values, it also explores the correlation between values and it’s possible to compare a 3rd and a 4th variable using different colors and sizes of the points. 

Detail, granular information: In this case, the graphics used are tables and KPIs. In the table, you can communicate any type of information, in particular a lot of details. For the KPIs, the information should be reduced.

Geographical: In this type of graphic, the data is located geographically and the comparison is between countries, cities, and/or states.

• Color themes and Branding: If your branded color palette is limited, expand your existing color scheme for use with visualizations. It may be that your brand colors or even an expanded branded color palette just aren’t suitable colors for your data visualizations. In this case, an alternative approach is to add new colors or use a tool to find complementary color schemes that will work for you.

• Use Consistent Visuals: Maintain uniformity in color schemes, fonts, and graphic styles.
• Keep Clarity Over Complexity and leave white space in your dashboard. Use white space to allow your users to focus on one thing at a time.

Best Practices for Dashboard Design

I laid out a few good practices to consider when designing a dashboard that will improve their performance. Some of these may sound obvious and for that reason tend to be overlooked:

1. Always create dashboards with users in mind: A well-designed dashboard creates engagement from your users and helps them understand, and tailor the dashboard to the user’s needs and expertise.
2. Responsive Design: As designers, we need to ensure dashboards are accessible on various devices (desktops, tablets, mobile).
3. Automatically updated (Real-time Data Display):  Your dashboard should provide up-to-date information that helps users make informed decisions quickly.
4. Self-service and interactive: It would be ideal for your dashboards to be interactive and allow the user to customize them based on their needs, (for example allowing the user to filter the data by date).

Final Thoughts

At LoopStudio, designing a dashboard it’s not just simply gathering a lot of graphics with an appealing aesthetic; A dashboard it’s a tool and a resource to help users make data-driven decisions. 

I hope that this guide has helped you understand the steps that must be carried out to achieve an effective dashboard design, from getting to know your dashboard users, defining a clear objective based on the users’ needs, and organizing the information in a hierarchical way telling a story through the layout and the type of visualizations.