Colors in dashboards are not just decoration. They help users understand data quickly. Which reason best explains why color is important in dashboards?
Think about how your eyes are drawn to bright or different colors first.
Colors help users quickly spot key information by drawing attention to important parts of the dashboard. This improves understanding and decision-making.
You want to show sales growth and decline in a bar chart. Which color choice best follows common BI color meaning conventions?
Think about traffic lights and what colors mean good or bad.
Green usually means positive or good, and red means negative or bad. This helps users quickly understand if values are good or bad.
You want to apply conditional color formatting in a BI tool to highlight sales over $10,000 in green and below $10,000 in red. Which rule setup is correct?
Think about which sales values you want to highlight positively.
Sales greater than 10,000 should be green to show good performance, others red to show underperformance.
You are designing a dashboard for a team where many users have red-green color blindness. Which color choice best ensures clear meaning for all users?
Think about colors that are easy to distinguish for red-green colorblind people.
Blue and orange are distinguishable by most colorblind users, avoiding confusion that red and green cause.
A heatmap uses a color scale from light yellow to dark red to show values. However, users report confusion because low values appear alarming. What is the main cause?
Think about how color intensity usually relates to value magnitude.
If the color scale is reversed, low values get dark red which users associate with high risk, causing confusion.