A dashboard is one of the key features in web application design. It's a single screen that contains frequently requested data and the latest updates, tracking KPIs, metrics, and other relevant analytics. Data dashboard lets users monitor changes and trends, react, and perceive information exactly when necessary.
Basically, it's just like a car dashboard that shows only the essentials we need to drive safely. So does the data dashboard. Its main goal is to supply, not to overwhelm.
According to Statista
, 70% of B2B software sales professionals prefer to receive CRM data with a daily dashboard overview instead of getting corresponding emails throughout the day. This statistic leads us to a simple conclusion. Dashboards have become the main tool for viewing any kind of data. A good dashboard design is a key factor in this regard. If designed properly, it empowers users and opens up opportunities, especially in the business intelligence field. But oversaturation, lack of clarity, and poor visualization may mislead users or cause frustration.
To help you avoid common mistakes and follow data dashboard design best practices, we collected and illustrated all the key components and factors you have to consider.
This post is based on our team experience
gained while working on various dashboard types. See our real-life examples below.